Abstract
From engineering improved device performance to unraveling the breakdown of classical heat transfer laws, far-field optical temperature mapping with nanoscale spatial resolution would benefit diverse areas. However, these attributes are traditionally in opposition because conventional far-field optical temperature mapping techniques are inherently diffraction limited. Optical super-resolution imaging techniques revolutionized biological imaging, but such approaches have yet to be applied to thermometry. Here, we demonstrate a super-resolution nanothermometry technique based on highly doped upconverting nanoparticles (UCNPs) that enable stimulated emission depletion (STED) super-resolution imaging. We identify a ratiometric thermometry signal and maintain imaging resolution better than ~120 nm for the relevant spectral bands. We also form self-assembled UCNP monolayers and multilayers and implement a detection scheme with scan times >0.25 μm2/min. We further show that STED nanothermometry reveals a temperature gradient across a joule-heated microstructure that is undetectable with diffraction limited thermometry, indicating the potential of this technique to uncover local temperature variation in wide-ranging practical applications.
Temperature-dependent emission from highly doped upconverting nanoparticles enables optical super-resolution nanothermometry.
INTRODUCTION
Modern electronic, optoelectronic, and data storage devices combine nanoscale features, high power densities, and challenging operating environments. Consequently, many devices experience degradation or failure mechanisms that are known to be thermal in nature (1–3), yet pinpointing the precise causes remains very difficult due to the lack of nanoscale thermometry techniques compatible with realistic operating conditions. Materials characterization challenges such as measuring interfacial thermal resistances across individual grains (4, 5) or material phases with nanoscale dimensions would also strongly benefit from broadly compatible nanothermometry approaches. Likewise, nanoscale temperature maps can provide direct evidence to verify longstanding predictions of deviations from classical heat transfer laws at the nanoscale (6). Chemical reactions (7), biological systems (8, 9), phase transitions (10), lithium-ion batteries (11), plasmonics (12), and quantum devices (13, 14) are several additional examples of numerous areas where nanothermometry could guide improved thermal design or resolve open questions about the role of temperature and heat dissipation.
Near-field optical (15, 16) and contact-based thermometry methods like scanning thermal microscopy (SThM) (17, 18) can provide sub–100 nm spatial resolution, but parasitic heat sinking and unknown thermal resistances between the probe tip and sample complicate accurate extraction of the true temperature profile (19–21). Recent advances, such as simultaneous SThM measurements of the apparent sample temperature and tip-sample thermal contact resistance (22), allow mapping of unmodulated temperature fields with sub–10 nm spatial resolution, but these measurements must be performed in ultrahigh vacuum and require samples that can tolerate physical contact by the probe. Emerging electron microscopy techniques offer noncontact nanoscale temperature mapping capabilities (23); nonetheless, such approaches greatly restrict the sample form factor, material type, and operating environment. In contrast, far-field optical techniques offer exceptional versatility. Existing optical thermometry methods include thermal radiation, thermoreflectance (24, 25), Raman (26), and luminescence-based techniques (27), but the spatial resolution of temperature maps obtained using these approaches is fundamentally diffraction limited to hundreds of nanometers at best.
Optical super-resolution imaging techniques, which combine far-field optics with subdiffraction limited spatial resolution, have revolutionized biological imaging by revealing cellular structures unresolvable with conventional imaging (28). These methods largely rely on switching fluorescent probes between a bright “on” state and a dark “off” state, either stochastically, as in the case of single-molecule localization-based methods (29), or deterministically, with the stimulated emission depletion (STED) approach applied here (30–32) falling into the latter category. Many of the organic dyes and fluorescent proteins traditionally used for STED imaging lack sensitive, reliable temperature-dependent emission signatures and have limited operating temperature ranges since these probes are optimized for biological applications, posing challenges for adapting STED imaging for thermometry. Inorganic probes including quantum dots (33) and nitrogen vacancy centers in nanodiamonds (34) also enable STED imaging, but like their organic counterparts, these probes require very high laser intensities to deplete their emission. Applying super-resolution concepts to thermometry has been proposed theoretically (35, 36) and initial experimental steps toward this goal have been explored (37), but optical super-resolution thermometry has yet to be demonstrated experimentally.
Recently, NaYF4 upconverting nanoparticles (UCNPs) doped with 18 to 20% Yb3+ and a high 8 to 10% Tm3+ concentration (versus conventional ~1%) were shown to enable STED super-resolution imaging (38, 39), in which a doughnut-shaped laser beam is used to selectively deplete luminescence by returning emitters within the doughnut to the ground state, drastically restricting the effective point spread function. The Yb3+ ions absorb 975- to 980-nm excitation light and transfer energy to the Tm3+ ions, which emit visible luminescence that can be suppressed by an 808- to 810-nm depletion laser. These UCNPs have a saturation intensity, defined as the depletion laser intensity that halves the upconversion emission, far lower than other probes [as much as two orders of magnitude (38)], substantially reducing the required depletion laser power. This saturation intensity reduction is directly linked to intense cross-relaxation, which originates from the high Tm3+ doping and establishes the population inversion required for STED (38, 39). The low depletion intensity requirement of STED-compatible UCNPs combined with the fact that conventional lightly doped UCNPs have been used extensively for diffraction limited thermometry (40–42) suggests intriguing possibilities for super-resolution nanothermometry. However, critical scientific unknowns have remained unexplored, including the feasibility of UCNP-based STED imaging and spectroscopy at elevated temperatures and whether a UCNP composition that both enables STED imaging and displays temperature-dependent emission can be identified. Likewise, key engineering challenges must be addressed, such as depositing large-area UCNP coatings that accurately report the temperature profile of the underlying sample and identifying detection schemes that allow for temperature mapping with practical scan times.
RESULTS
To investigate the performance of UCNP-based STED at elevated temperatures, we built a custom scanning confocal microscopy and spectroscopy system modified to include STED capabilities (Materials and Methods and fig. S1). In contrast with typical STED bioimaging systems that use oil immersion objective lenses with sub–1 mm working distances, we use a dry air objective lens with a 10 mm working distance (Fig. 1A), which avoids parasitic heat sinking via an immersion medium or undesirable heating of the immersion medium. To validate the room temperature imaging performance of our STED microscope, we used individual hexagonally faceted UCNPs with an average diameter of ~134 nm (Fig. 1B and fig. S2) doped with approximately 20% Yb3+ and 8% Tm3+. When a continuous-wave (CW) 976-nm Gaussian excitation laser beam and a CW 808-nm doughnut-shaped depletion laser beam (Fig. 1C) are applied simultaneously to image a single UCNP on a borosilicate glass substrate (Fig. 1D) using the 455-nm emission originating from the 1D2 ➔ 3F4 transition of Tm3+, the full width at half maximum (FWHM) of a Gaussian fit to the intensity profile from the resulting image is 136 nm, a notable improvement compared to the 461 nm FWHM obtained from imaging the same single UCNP with only the excitation beam (Fig. 1E). Because this STED image is a convolution of the UCNP size and the true imaging resolution, the FWHM value represents only an upper bound on the imaging resolution. While imaging smaller single UCNPs could thus result in lower measured FWHM values, these ~134-nm-diameter UCNPs were selected to facilitate the temperature-dependent single-UCNP STED spectroscopy and single-UCNP STED imaging using lower intensity emission peaks presented in subsequent sections. Larger scans containing multiple individual particles and small aggregates are shown in fig. S3.
Fig. 1. Custom-built STED microscopy and spectroscopy system.
(A) Super-resolution measurements were performed using a custom STED microscopy and spectroscopy system, which uses a dry air objective lens with a 10 mm working distance to avoid parasitic heat sinking (image not to scale). NA, numerical aperture. (B) Transmission electron microscope (TEM) image of hexagonally faceted NaYF4:Yb3+,Tm3+ UCNPs with an average diameter of ~134 nm. (C) Point spread functions of both the 976-nm excitation laser beam and the 808-nm doughnut-shaped depletion beam visualized by scanning a single 80-nm gold nanoparticle with each beam and recording the backscattered light. (D) Scanning electron microscope (SEM) image of a single UCNP on a borosilicate glass substrate. The sample was coated with 5 nm of platinum to minimize charging effects during SEM imaging. (E) Confocal and STED luminescence images of the same single UCNP shown in (D) acquired using the 455-nm emission associated with the 1D2 ➔ 3F4 Tm3+ transition. The 976- and 808-nm laser powers measured at the objective back aperture were 1.9 and 192 mW, corresponding to intensities of 0.13 MW cm−2 (976 nm) and 6.5 MW cm−2 (808 nm), respectively. a.u., arbitrary units.
Figure 2A shows emission spectra from an individual ~134-nm-diameter NaYF4:Yb3+,Tm3+ UCNP on a borosilicate glass substrate under 976-nm excitation at room temperature (293 K), 350 K, and 400 K. We observe peaks near 455, 480, and 515 nm, assigned to the 1D2 ➔ 3F4, 1G4 ➔ 3H6, and 1D2 ➔ 3H5 transitions of Tm3+, respectively. We also observe a peak near 490 nm that displays clear and measurable temperature dependence. As observed from Fig. 2A, this 490-nm peak shows a sharp increase in intensity between room temperature and 400 K. While this same 490-nm peak has been observed experimentally for other highly Tm3+-doped UCNPs excited using comparable excitation laser intensities of ~0.1 to 1 MW cm−2 (39, 43, 44), the precise origins of this peak have not been identified. To further confirm that this peak originates from a Tm3+ transition, we performed additional experiments to rule out the possibility that this peak could stem from Er3+ contamination or a second-harmonic generation artifact related to our 976-nm excitation laser (figs. S4 and S5). The critical temperature dependence provided by this 490-nm peak highlights how transitions that have received minimal attention to date can play central roles in emerging applications and indicates future opportunities for further investigation into the origins of this emission peak.
Fig. 2. Temperature-dependent single-UCNP spectroscopy and depletion.
(A) Normalized emission spectra from a single ~134-nm-diameter UCNP (representative TEM image shown in the inset) on a borosilicate glass substrate acquired at 293, 350, and 400 K. The integration time for all spectra was 180 s. (B) Single-UCNP emission spectra acquired at 293 K when only a 976-nm Gaussian laser beam was applied and when both 976- and 808-nm Gaussian laser beams were applied simultaneously. The 976-nm excitation laser intensity was 0.2 MW cm−2 and the 808-nm depletion laser intensity was 21.6 MW cm−2. (C and D) The same measurements as in (B) performed at 350 and 400 K, respectively.
When a second, 808-nm CW Gaussian beam is applied together with the 976-nm beam, the emission from all peaks shown is depleted, which is demonstrated at room temperature in Fig. 2B. We obtain depletion efficiencies (defined as the percentage of the integrated emission intensity that remains when both the 976- and 808-nm Gaussian beams are applied relative to that recorded when only the 976-nm beam is applied) of 98 and 76% for the 455- and 480-nm peaks, respectively, in accordance with prior work (38, 39). For the 490- and 515-nm peaks, we achieve sufficiently high depletion efficiencies such that any residual emission is below the noise floor of our measurements. Figure 2 (C and D) shows depletion of single-UCNP spectra at 350 and 400 K. Critically, the depletion efficiencies for all peaks at these elevated temperatures are essentially identical to their respective room temperature values.
Focusing on the temperature-dependent 490-nm peak and the 515-nm peak that has a similarly high depletion efficiency, we performed STED imaging of individual UCNPs on a borosilicate glass substrate between room temperature and 400 K using bandpass filters with passbands of 492 ± 5 nm and 514 ± 15 nm. Figure 3 compares single-UCNP images recorded using only the 976-nm Gaussian excitation beam and those recorded with the addition of the 808-nm doughnut-shaped depletion beam at 293, 350, and 400 K. Although the 490- and 515-nm peaks have much lower intensities than the 455-nm peak, we demonstrate the ability to maintain notable imaging resolution enhancement when the depletion beam is applied. Specifically, we achieve FWHM values between 171 and 179 nm for all temperatures and both wavelength bands. Using a simple deconvolution based on approximating both the true imaging point spread function and the spatial extent of the UCNP as Gaussians (38, 45), these FWHM values correspond to an estimated imaging resolution of 119 nm or better across all temperatures and both wavelength bands.
Fig. 3. Temperature-dependent single-UCNP STED imaging.
Confocal and STED imaging of a single ~134-nm-diameter UCNP on a borosilicate glass substrate performed using two different bandpass filters corresponding to the 490- and 515-nm emission peaks at 293, 350, and 400 K. The 976-nm excitation laser intensity was 0.2 MW cm−2 and the 808-nm depletion laser intensity was 6.5 MW cm−2. The FWHM values extracted from the STED images range from 171 to 179 nm, which corresponds to imaging resolution better than ~120 nm in all cases, as estimated using a simple deconvolution.
We next evaluated whether these NaYF4:Yb3+,Tm3+ UCNPs could enable ratiometric thermometry, in which the ratio of the integrated emission intensities from two spectral peaks serves as a temperature-dependent metric. UCNPs, including Yb3+/Tm3+ co-doped compositions with much lower Tm3+ concentrations than the 8 to 10% Tm3+ doping we use here, are commonly used for ratiometric thermometry based on the temperature-dependent relative emission intensity from closely spaced, thermally coupled energy levels with Boltzmann-distributed populations (46, 47). This approach has also been extended to non–thermally coupled energy levels (48, 49). Figure 4A shows spectra between 485 and 530 nm for single UCNPs on a borosilicate glass substrate at 293, 350, and 400 K acquired with and without the 808-nm doughnut-shaped depletion beam, confirming that the spectra are unaltered over this wavelength range when recorded in a STED modality. Figure 4A also indicates the wavelength bounds λ1, λ2, and λ3 used to calculate the integrated intensity ratio of the 490-nm peak versus the 515-nm peak, where the ratio and I(λ) is the emission intensity. Figure 4B shows r at eight different temperatures between 293 and 400 K for five individual UCNPs under 976-nm excitation only and at 293, 350, and 400 K for three individual UCNPs when both the 976-nm Gaussian beam and the doughnut-shaped 808-nm depletion beam were applied simultaneously. The latter measurements align very well with the former, demonstrating that the addition of the doughnut-shaped depletion beam does not affect the temperature dependence of the ratio. To facilitate estimation of the relative temperature sensitivity, defined as (27), where T is temperature, we approximate the measured r versus T data as linear (fig. S6). We obtain a relative sensitivity that ranges from approximately 0.8% K−1 at 293 K to 0.4% K−1 at 400 K, comparable to many other UCNP thermometry approaches. While the temperature dependence of this ratio is driven by the temperature-dependent intensity of a single peak, the ratiometric approach remains advantageous because it is often insensitive to intensity variations caused by changes in optical alignment, laser intensity fluctuations, particle-to-particle differences, and sample absorption or scattering.
Fig. 4. Ratiometric thermometry in diffraction limited and STED modalities.
(A) Normalized single-UCNP spectra on a borosilicate glass substrate acquired in diffraction limited and STED modalities at 293, 350, and 400 K. The integration time for all spectra was 180 s. (B) Luminescence intensity ratio versus temperature measurements for five individual UCNPs under 976-nm excitation only and for three individual UCNPs when both the 976-nm Gaussian beam and the doughnut-shaped 808-nm depletion beam were applied. Error bars represent the SD of two consecutive measurements. The 976-nm excitation laser intensity was 0.2 MW cm−2 and the 808-nm depletion laser intensity was 6.5 MW cm−2, the same intensities applied for the single-UCNP imaging shown in Fig. 3 performed using the 490- and 515-nm emission peaks.
Thus far, all results shown are for isolated single UCNPs, but temperature mapping requires coating the sample surface with a continuous layer of UCNPs. Monolayer coatings minimize the potential for both parasitic heat sinking and UCNP self-heating and can help ensure good thermal contact between the flat hexagonal facets of the UCNPs and the sample surface. The discrete nature of the UCNPs and low thermal conductivity of the UCNP host matrix (50) are also beneficial for impeding lateral heat spreading that could distort the measured temperature profile. To form UCNP monolayers, we leveraged a liquid-air interfacial self-assembly method that has previously been used to form monolayers of UCNPs (51, 52) and other types of nanoparticles (53). Briefly, a cyclohexane or toluene solution containing UCNPs is dispersed on the surface of ethylene glycol (EG). Cyclohexane or toluene evaporation results in the formation of a UCNP monolayer that we subsequently removed from solution and placed on a silicon substrate (Materials and Methods). Figure 5A shows representative images of continuous monolayers formed using UCNPs ~100 nm in diameter that can span areas >100 μm2. While monolayer coatings are advantageous from a thermal perspective, a trade-off is the low emission intensity produced by UCNP monolayers. This low emission intensity can be compensated for by using higher excitation intensities, but doing so reduces the depletion efficiency and, consequently, the spatial resolution (see fig. S7 for ratio maps obtained from a UCNP monolayer). Therefore, we also used the same self-assembly method to form UCNP multilayers that largely consist of double-layer regions. Figure 5B shows an example of a UCNP multilayer placed on a silicon substrate formed using UCNPs ~200 nm in diameter.
Fig. 5. Temperature-dependent ratio maps of self-assembled UCNP layers.
(A) SEM images of self-assembled UCNP monolayers on silicon substrates formed from UCNPs ~100 nm in diameter. (B) SEM image of a self-assembled UCNP multilayer that primarily consists of double-layer regions on a silicon substrate formed using UCNPs ~200 nm in diameter. (C) Luminescence intensity ratio maps acquired from a 0.5 × 0.5 μm2 region of the UCNP multilayer shown in (B) using APD scans in confocal and STED modalities at 293, 350, and 400 K. The 976-nm excitation laser intensity was 0.2 MW cm−2 and the 808-nm depletion laser intensity was 6.5 MW cm−2, the same as in Figs. 3 and 4. The total scan time for each ratio map was 52.75 s. (D) Mean ratio and SD (represented by the error bars) for each APD scan from (C) overlaid on the analogous spectroscopic data from Fig. 4B. As indicated in the inset, the wavelength bounds used to calculate the temperature-dependent ratio were adjusted to match those of the bandpass filters, and the ratio values for the data from Fig. 4B were recalculated accordingly.
Because acquiring a single-UCNP spectrum can require integration times on the order of minutes, raster scanning microscale areas could require hours, prohibitive for many practical applications. Therefore, to reduce the required acquisition time, we used bandpass filters corresponding to the 490- and 515-nm emission peaks and recorded temperature-dependent ratio maps with an avalanche photodiode (APD). We used a motorized filter wheel to rapidly switch between the two bandpass filters at each pixel (switching time of 55 ms). Figure 5C shows ratio maps for the same 0.5 × 0.5 μm2 area recorded at 293, 350, and 400 K with and without the doughnut-shaped depletion beam using the multilayer sample shown in Fig. 5B. Each ratio map was recorded with a total scan time of 52.75 s. In contrast, if the same area were raster scanned and spectra were recorded with the 180-s integration time used for the spectra shown in Figs. 2 and 4, the total scan time would be 4500 s, nearly two orders of magnitude longer. Figure 5D shows the mean ratio and SD from each scan in Fig. 5B overlaid on the corresponding spectroscopic ratio versus temperature data from Fig. 4B. As indicated in the inset of Fig. 5D, here we adjusted the wavelength bounds used to calculate the temperature-dependent ratio to match those of the bandpass filters and recalculated the ratio values for the single-UCNP data shown in Fig. 4B accordingly. The temperature-dependent ratios from the APD scans performed both with and without the doughnut-shaped depletion beam are in excellent agreement with our spectroscopic measurements, indicating that this approach can produce high-fidelity temperature measurements while markedly reducing the required scan time. We attribute the spatial variation of the temperature-dependent ratio observed in the nominally uniform temperature scans shown in Fig. 5C, which is equivalent to temperature variation of ~10 K, to particle-to-particle nonuniformity rather than issues related to thermal contact resistance between the UCNPs and substrate or between neighboring UCNPs. This assertion is supported by comparing temperature-dependent ratio measurements performed using single UCNPs, the UCNP multilayer in Fig. 5B, and aggregates of randomly oriented UCNPs, all of which yield very similar ratio values despite substantial differences in the UCNP-substrate thermal contact and thermal contact between UCNPs across these scenarios (fig. S8).
To demonstrate that STED nanothermometry can detect temperature heterogeneities that are unobservable with analogous diffraction limited measurements, we designed NiCr serpentine heater lines ~1 μm wide and 50 nm thick fabricated on crystalline quartz substrates (Materials and Methods). A scanning electron microscope (SEM) image of a serpentine heater line is shown in Fig. 6A. When an electrical current is applied across the outer two contact pads (see fig. S9 for additional heater line images), the resulting current density concentrates at the inner boundaries of the serpentine structure due to a geometric effect known as “current crowding,” leading to nonuniform joule heating (16, 54). Consequently, the temperature rise at the inner corners of the heater line is higher than that at the outer corners. The low thermal conductivity of NiCr [bulk value of ~11 to 13 W m−1 K−1, with lower values reported for thin films (55)] relative to pure metals helps maintain large temperature gradients between the inner and outer corners. Figure 6B shows finite element simulations of nonuniform current density and temperature profiles resulting from the current crowding effect.
Fig. 6. STED nanothermometry applied to a joule-heated microstructure.
(A) SEM image of a NiCr serpentine heater line fabricated on a crystalline quartz substrate. (B) Finite element simulations of the current density and temperature profiles resulting from applying an electrical current to the serpentine heater line. (C) UCNPs drop-cast on the surface of a NiCr serpentine heater line. The blue box encloses a cluster of UCNPs used to perform the measurements shown in (D) and (E). (D) T − Tmean,outer measured at three locations when no current I is applied, where Tmean,outer is the mean temperature corresponding to 12 measurements performed near the outer corner of the heater line. Here, the values for Tmean,outer are 302 K (976 nm only) and 349 K (976 nm and 808 nm). The 976-nm excitation laser intensity was 0.064 MW cm−2 and the 808-nm depletion laser intensity was 0.9 MW cm−2, which provides a similar level of spatial resolution to that from the combination of laser intensities applied in Figs. 3 to 5 (fig. S14). (E) The same measurements as in (D) performed under an applied current of I = 10.5 mA. Here, the values for Tmean,outer are 340 K (976 nm only) and 399 K (976 nm and 808 nm). The STED measurements can detect a temperature rise at the inner corner that is ~40 K higher than that measured at the outer corner.
While we can form UCNP monolayers or multilayers with areas >100 μm2, which is more than sufficient to cover the approximately 13 μm by 2 μm footprint of a serpentine heater line, we found that aligning self-assembled UCNP monolayers or multilayers to cover the serpentine heater lines was challenging due to the stochastic nature of the layer placement. More specifically, we found that upon removing a self-assembled UCNP layer from solution and placing it on a sample consisting of an array of these heater lines, the odds of the layer landing at a location where it covers a serpentine heater line are very low. This low likelihood results from the fact that the serpentine heater lines themselves cover a very small percentage of the overall sample area (see fig. S9). Figure S10 also shows two unsuccessful attempts to deposit UCNP layers on a serpentine heater line, where the UCNP layers landed on contact pads rather than the serpentine heater lines. In the future, template-assisted self-assembly approaches (56) may provide an alternative strategy for directly assembling UCNP monolayers or multilayers at the desired location, while transfer printing approaches (57) offer a possible strategy for deterministically placing layers to cover the features of interest. As a current alternative, we instead were able to successfully drop-cast UCNPs onto the heater lines. Figure 6C shows a case in which we were able to deposit a cluster of the ~134-nm-diameter UCNPs that spans the diagonal from the inner corner to the outer corner along one bend of the serpentine.
Next, we recorded the temperature-dependent ratio at three points along the UCNP-coated region of the heater line indicated in Fig. 6C, first under no applied current and then when a DC electrical current was applied to induce joule heating. We selected points with similar emission intensities to avoid any potential location-to-location variation in the depletion efficiency. The selected points also had comparable emission intensities to the aggregates used for the ratio versus temperature measurements shown in fig. S8. We performed 12 consecutive measurements at each position and used linear fits to the ratio versus temperature calibration data from Fig. 5D (fig. S6) to convert the measured ratio changes into temperature rises. A unique aspect of our approach is that we can directly compare the results of conventional, diffraction limited ratiometric thermometry (that is, measurements taken without the doughnut-shaped depletion beam) and STED measurements performed under otherwise identical conditions on the same sample. Because of the low thermal conductivities of both NiCr and quartz [~10 W m−1 K−1 cross-plane and ~6 W m−1 K−1 in-plane (58)] and the moderate near-infrared optical absorptance of NiCr films [typically >0.4 (59)], the addition of the doughnut-shaped depletion beam results in laser heating of the NiCr line (figs. S11 and S12). Therefore, to facilitate comparison of the joule heating–induced temperature gradient recorded across the heater line using diffraction limited and STED measurements, we plot measured T − Tmean,outer values, where Tmean,outer is the mean temperature corresponding to 12 measurements performed near the outer corner of the heater line. This analysis assumes that the laser heating of the NiCr line by the doughnut-shaped depletion beam remains spatially uniform throughout our measurements, which is validated through separate, complementary temperature-dependent ratio measurements using Nd3+-sensitized UCNPs excited at 808 nm (fig. S13).
Figure 6D shows measurements recorded in both diffraction limited and STED modalities when no current is applied to the heater line. In this case, there is no meaningful difference between the two datasets. Figure 6E shows diffraction limited and STED measurements performed under an applied current of I = 10.5 mA. Here, the diffraction limited measurements show no detectable variation with position across the heater line, meaning that no temperature gradient can be observed. In contrast, for STED measurements performed at the same locations, a temperature gradient can be detected, with a temperature rise measured at the inner corner that is ~40 K higher than that measured at the outer corner, as expected based on the current crowding effect. The calculated temperature uncertainty of approximately ±10 K accounts for trial-to-trial variation among 12 consecutive measurements performed at each location and variation in linear fits to the five ratio versus temperature calibration datasets shown in Fig. 5D used to convert the measured ratio values to temperatures (see the Supplementary Materials for details). We attribute the trial-to-trial variation to factors including mechanical drifts, detector noise, and modest fluctuations in the depletion laser output power (see Materials and Methods). For temperature measurements performed at a fixed location or using a given single UCNP, estimating the temperature resolution based on the average slope of these linear fits and the smallest detectable change in the ratio yields a value of ±0.8 K (see the Supplementary Materials for details). A comparison of the spatial and temperature resolution of our technique with that of other temperature mapping methods is also shown in fig. S14. The STED measurements in Fig. 6E are in good agreement with the prediction of finite element simulations where the NiCr thermal conductivity and NiCr-quartz thermal interface resistance were varied based on reported literature values to determine the best fit to the experimental data (fig. S15). These results indicate the potential of STED nanothermometry to reveal temperature heterogeneities in microstructures and nanostructures that are undetectable with diffraction limited optical thermometry.
DISCUSSION
In summary, we demonstrate an optical super-resolution nanothermometry technique, which offers a unique combination of nanoscale spatial resolution and far-field optical operation. This method is broadly compatible with different sample form factors and material types and can be readily extended beyond the ambient air environment presented here to liquid or vacuum operating conditions. We uncover temperature-dependent emission signatures compatible with highly doped UCNPs that enable STED imaging, show that the STED performance is maintained at elevated temperatures, and use single-UCNP measurements to demonstrate excellent consistency between the temperature-dependent luminescence intensity ratios measured in diffraction limited and super-resolution modalities. Toward the goal of using STED nanothermometry for practical temperature mapping applications, we form self-assembled UCNP monolayers and multilayers and implement an APD-based detection scheme that reduces the required scan time by over an order of magnitude compared to spectroscopy. The temperature-dependent ratio values obtained from APD scans of a UCNP multilayer in both diffraction limited and super-resolution modalities are likewise consistent with those obtained from single-UCNP spectroscopy. A direct comparison of diffraction limited and STED thermometry on a microfabricated heater line demonstrates a scenario in which only super-resolution measurements can detect a temperature gradient caused by spatially nonuniform joule heating.
Future efforts to elucidate the physical origins of the temperature-dependent luminescence we observe for highly doped NaYF4:Yb3+,Tm3+ UCNPs could inform improved modeling of the temperature dependence and guide the design of UCNPs where the emission peaks with the strongest temperature dependence also have the largest intensities. The latter could allow the use of lower excitation powers that lead to improved depletion efficiencies (60), thereby further improving the spatial resolution of UCNP-based STED nanothermometry, or enable similar spatial resolution to be maintained while reducing the required depletion laser power, which would be beneficial in scenarios involving optically absorbing, low thermal conductivity samples where laser-induced sample heating may be a concern. Pursuing design and synthesis strategies that allow for even higher Tm3+ doping concentrations has also been suggested as a strategy for augmenting the overall emission intensity (38). Tuning the maximum phonon energy of the crystalline host matrix to selectively enhance or attenuate multiphonon relaxation and phonon-assisted energy transfer processes is another recently demonstrated strategy for enhancing UCNP emission intensity (61). To further assess the viability of strategies that rely on increasing the UCNP emission intensity to decrease the excitation intensity and ultimately the depletion intensity, we experimentally verified a favorable nonlinear scaling of the required depletion intensity with excitation intensity (fig. S17A). In alignment with prior work (60), we show that even modest decreases in the excitation intensity can enable comparatively large reductions in the depletion intensity. We also find that this nonlinear scaling is stronger than the competing nonlinear scaling of the upconversion emission intensity with excitation intensity (fig. S17B), indicating that increasing the UCNP brightness by less than a factor of three could ultimately enable a corresponding tenfold reduction in the depletion intensity, for example.
Beyond the NaYF4:Yb3+,Tm3+ UCNPs investigated here, other lanthanide-doped nanoparticle compositions continue to enable emerging super-resolution modalities. Near-infrared downshifting STED has been demonstrated using Nd3+-doped nanoparticles with higher quantum yields and a saturation intensity nearly an order of magnitude lower than that reported for UCNP-based STED (62), suggesting another potential route to achieving STED nanothermometry with lower depletion laser intensities. The advent of lanthanide-doped photon-avalanching nanoparticles has spurred additional super-resolution imaging concepts, such as photon-avalanche single-beam super-resolution imaging (63) and indefinite near-infrared photon avalanching localization microscopy (64), and future investigation into the temperature-dependent emission of this nascent class of materials is expected to further advance the adaptation of super-resolution imaging concepts for thermal metrology.
MATERIALS AND METHODS
STED microscopy and spectroscopy system
A CW 976-nm fiber Bragg grating-stabilized laser diode (BL976-PAG500, Thorlabs) whose output was passed through a clean-up bandpass filter (LD01-975/10-25, Semrock) served as the excitation source. A CW 808-nm single-mode Fabry-Perot laser diode (FPL808S, Thorlabs) whose output was passed through a clean-up bandpass filter (FF01-810/10-25, Semrock) served as the depletion beam. The two laser beams were combined using a longpass dichroic mirror (t850lpxxr-uf3, Chroma). A shortpass dichroic mirror (zt775sp-2p-uf3, Chroma) was used to reflect both beams and also allowed the upconverted luminescence to pass through. Both beams were focused onto the sample surface using a dry air objective lens with a 10 mm working distance and a numerical aperture of 0.7 (Mitutoyo Plan Apo NIR HR 100X). Samples were mounted on and scanned by a piezo-controlled nanopositioning stage (Mad City Labs Nano-T115). A thermal stage (custom version of HCS321Gi, Instec) mounted on the piezo-controlled nanopositioning stage was used to perform temperature calibration measurements. The collected upconverted luminescence was also passed through a shortpass filter (BSP01-785R-25, Semrock) to remove any residual excitation or depletion light. For single-UCNP imaging, the luminescence was sent through a 100-μm pinhole and focused onto an APD (Micro Photon Devices PDM Series). To select various upconversion emission peaks, different bandpass filters were used (FF01-448/20-25, Semrock; 492 CWL 10 nm bandpass filter, #65-148, Edmund Optics; FF01-514/30-25, Semrock). For spectroscopy, the luminescence was sent to an Andor Kymera 193i spectrograph with an iDus 420 charge-coupled device camera. For ratiometric thermometry performed using the APD, a motorized filter wheel (FW103H, Thorlabs) was used to switch between two bandpass filters placed in front of the APD.
For super-resolution measurements, a half-wave plate (WPH05M-808, Thorlabs) and a quarter-wave plate (WPQ05M-808, Thorlabs) were used to circularly polarize the 808-nm beam, which was then passed through a vortex phase plate (VPP-1a, RPC Photonics) to generate the doughnut shape. The point spread functions of both the excitation and depletion beams were characterized by scanning each beam over a single 80-nm gold nanoparticle (80-nm gold colloid, BBI Solutions) with the confocal pinhole removed and recording the backscattering light using the APD. The positions of both beams were then carefully adjusted until the beams were spatially overlapped.
The excitation and depletion laser intensities were calculated by dividing the laser power measured at the objective back aperture by the area of the laser spot. In all cases, the area of the laser spot was determined by experimentally characterizing the point spread function using the method described above. For the Gaussian beams, the area of the laser spot was calculated using the 1/e2 radius. For the doughnut-shaped beam, the area of the laser spot was taken to be the area where the intensity was larger than 1/e2 of the maximum intensity. The 976- and 808-nm lasers have experimentally determined power stabilities of approximately 0.1 and 5%, respectively, and both produce output peaked spectra within 1 nm of their nominal wavelengths with wavelength stability of 0.1 nm or better. This level of wavelength instability is sufficiently small as to have negligible impact on our measurements. While power instability at the 0.1% level as observed for the 976-nm laser likewise has negligible practical impact on our measurements, power instability at the 5% level as observed for the 808-nm laser is likely one contributing factor to the trial-to-trial variation of our ratiometric thermometry measurements performed in a STED modality and the associated error bars.
Single-UCNP sample preparation
NaYF4 UCNPs with nominal doping concentrations of 18 to 20% Yb3+ and 8 to 10% Tm3+ and nominal diameters ranging from 100 to 200 nm dispersed in cyclohexane or toluene were purchased from CD Bioparticles and the Fraunhofer Center for Applied Nanotechnology. To prepare samples primarily consisting of isolated individual UCNPs, UCNPs dispersed in cyclohexane were diluted from an initial concentration of 20 to 2 mg/ml. Twenty-five microliters of the diluted UCNP solution was then spin coated onto borosilicate glass cover slips or silicon substrates with fiducial markers (EM-Tec FG1 Silicon Finder Grid). Before spin coating, the substrates were sonicated for 10 min each in acetone, isopropyl alcohol, and deionized water and then plasma cleaned for 30 s.
Self-assembled monolayer and multilayer formation and transfer
Formation of UCNP monolayers was carried out based on a previously reported liquid-air interfacial self-assembly method. A Teflon beaker (1.7-cm diameter, 5-ml volume) was filled halfway with EG, and the silicon substrate (cleaned using the same procedure described above) was fully submerged within the EG. UCNPs dispersed in cyclohexane (initial concentration 20 mg/ml) were sonicated for 15 min before being diluted to 5 mg/ml in cyclohexane. The same process was also carried out separately for UCNPs dispersed in toluene (initial concentration 50 mg/ml), which were diluted to 5 mg/ml in toluene. A pipette was used to drop-cast the diluted UCNP solution onto the EG surface, and a UCNP solution volume of 40 μl was used to encourage the UCNPs to align with their hexagonal facets facing upward. A glass cover slip was placed on top of the Teflon beaker to slow the cyclohexane or toluene evaporation, and the system was left for 40 min under a fume hood. The substrate was then lifted out of the EG to transfer the monolayer formed on the surface of the EG onto the substrate. Any remaining EG on the substrate was allowed to evaporate under ambient conditions. The UCNP multilayers were formed using an identical process except that the diluted UCNP solution concentration was increased to 13 mg/ml.
Serpentine heater lines
The NiCr serpentine heater lines were fabricated on Z-cut crystalline quartz wafers 100 mm in diameter and 525 μm thick (University Wafer) using the following process. The wafers were first cleaned using RCA-1 and RCA-2 cleans, followed by a dehydration bake for 30 min at 115°C to remove any residual moisture and 60 s of plasma cleaning using an oxygen plasma. A blanket layer of NiCr (80% Ni, 20% chromium, 99.95% purity, Research and PVD Materials Corporation) 50 nm in thickness was then evaporated onto the wafers. Subsequently, the wafers were spin coated with a negative deep-ultraviolet (DUV) photoresist (Micro Resist Technology UVN2300-05), soft baked for 45 min at 115°C, and patterned using an ASML PAS 5500/300C DUV Wafer Stepper. A postexposure bake of 30 min at 115°C was performed. The photoresist was then developed, followed by a hard bake for 30 min at 115°C. Ion beam milling (AJA Kaufman RF-ICP Ion Mill) was used to define the serpentine structures, and the photoresist was subsequently stripped.
To perform temperature measurements of joule-heated serpentine lines, the heater line sample was placed on a custom printed circuit board (PCB) and wire bonds were formed between the serpentine heater line contact pads and contact pads on the PCB. Larger wires were then soldered on to the PCB contact pads, which were connected to a source measure unit (Keithley 2410) that served as the current source during the joule heating experiments.
Finite element simulations
Finite element simulations of the current density and temperature profiles for the serpentine heater line were performed using COMSOL Multiphysics. The AC/DC module was used to calculate the current density profile resulting from a current applied to the heater line. The heat transfer module was then used to calculate the temperature profile due to joule heating resulting from the previously determined current density profile. The bottom side of the substrate was maintained at a fixed temperature of 293 K, while all other sides of the sample were treated as adiabatic.
Acknowledgments
We thank K. VanDelden and J. VanDelden of EigenPhase Technologies for the assistance in fabricating the NiCr serpentine heater lines. We also thank E. Chan and A. Skripka for helpful discussion on the UCNP emission spectra. This work was performed in part at the Cornell NanoScale Science & Technology Facility (CNF), a member of the National Nanotechnology Coordinated Infrastructure (NNCI), which is supported by the National Science Foundation (grant NNCI-2025233).
Funding: This material is based upon work supported by the National Science Foundation under grant no. 2142140. We also acknowledge support from a University of Rochester Furth Fund Award.
Author contributions: Conceptualization: A.D.P. Funding acquisition: A.D.P. Investigation: Z.Y., B.H., and A.D.P. Methodology: Z.Y., B.H., and A.D.P. Supervision: A.D.P. Visualization: Z.Y., B.H., and A.D.P. Writing–original draft: Z.Y., B.H., and A.D.P. Writing–review and editing: Z.Y., B.H., and A.D.P.
Competing interests: The authors declare that they have no competing interests.
Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.
Supplementary Materials
This PDF file includes:
Supplementary Text
Figs. S1 to S17
Table S1
References
REFERENCES AND NOTES
- 1.Warzoha R. J., Wilson A. A., Donovan B. F., Donmezer N., Giri A., Hopkins P. E., Choi S., Pahinkar D., Shi J., Graham S., Tian Z., Ruppalt L., Applications and impacts of nanoscale thermal transport in electronics packaging. J. Electron. Packag. 143, 020804 (2021). [Google Scholar]
- 2.Wang L., Jha A. K., Baxamusa S. H., Kotovsky J., Deri R. J., Swertfeger R. B., Thiagarajan P., Crowley M. T., Thaler G., Song J., Pipe K. P., High-resolution thermal profiling of a high-power diode laser facet during aging. IEEE J. Quant. Electron. 60, 2000111 (2023). [Google Scholar]
- 3.Deshmukh S., Rojo M. M., Yalon E., Vaziri S., Koroglu C., Islam R., Iglesias R. A., Saraswat K., Pop E., Direct measurement of nanoscale filamentary hot spots in resistive memory devices. Sci. Adv. 8, eabk1514 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sood A., Cheaito R., Bai T., Kwon H., Wang Y., Li C., Yates L., Bougher T., Graham S., Asheghi M., Goorsky M., Goodson K. E., Direct visualization of thermal conductivity suppression due to enhanced phonon scattering near individual grain boundaries. Nano Lett. 18, 3466–3472 (2018). [DOI] [PubMed] [Google Scholar]
- 5.Isotta E., Jiang S., Moller G., Zevalkink A., Snyder G. J., Balogun O., Microscale imaging of thermal conductivity suppression at grain boundaries. Adv. Mater. 35, e2302777 (2023). [DOI] [PubMed] [Google Scholar]
- 6.Chen G., Non-Fourier phonon heat conduction at the microscale and nanoscale. Nat. Rev. Phys. 3, 555–569 (2021). [Google Scholar]
- 7.Hartman T., Geitenbeek R. G., Whiting G. T., Weckhuysen B. M., Operando monitoring of temperature and active species at the single catalyst particle level. Nat. Catal. 2, 986–996 (2019). [Google Scholar]
- 8.Suzuki M., Plakhotnik T., The challenge of intracellular temperature. Biophys. Rev. 12, 593–600 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zhou J., del Rosal B., Jaque D., Uchiyama S., Jin D., Advances and challenges for fluorescence nanothermometry. Nat. Methods 17, 967–980 (2020). [DOI] [PubMed] [Google Scholar]
- 10.Zimmers A., Aigouy L., Mortier M., Sharoni A., Wang S., West K. G., Ramirez J. G., Schuller I. K., Role of thermal heating on the voltage induced insulator-metal transition in VO2. Phys. Rev. Lett. 110, 056601 (2013). [DOI] [PubMed] [Google Scholar]
- 11.Zhu Y., Xie J., Pei A., Liu B., Wu Y., Lin D., Li J., Wang H., Chen H., Xu J., Yang A., Wu C.-L., Wang H., Chen W., Cui Y., Fast lithium growth and short circuit induced by localized-temperature hotspots in lithium batteries. Nat. Commun. 10, 2067 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Baffou G., Anti-Stokes thermometry in nanoplasmonics. ACS Nano 15, 5785–5792 (2021). [DOI] [PubMed] [Google Scholar]
- 13.Halbertal D., Cuppens J., Shalom M. B., Embon L., Shadmi N., Anahory Y., Naren H. R., Sarkar J., Uri A., Ronen Y., Myasoedov Y., Levitov L. S., Joselevich E., Geim A. K., Zeldov E., Nanoscale thermal imaging of dissipation in quantum systems. Nature 539, 407–410 (2016). [DOI] [PubMed] [Google Scholar]
- 14.Ardizzi A. J., Choi A. Y., Gabritchidze B., Kooi J., Cleary K. A., Readhead A. C., Minnich A. J., Self-heating of cryogenic high electron-mobility transistor amplifiers and the limits of microwave noise performance. J. Appl. Phys. 132, 084501 (2022). [Google Scholar]
- 15.Goodson K. E., Asheghi M., Near-field optical thermometry. Microsc. Thermophys. Eng. 1, 225–235 (1997). [Google Scholar]
- 16.Weng Q., Lin K.-T., Yoshida K., Nema H., Komiyama S., Kim S., Hirakawa K., Kajihara Y., Near-field radiative nanothermal imaging of nonuniform joule heating in narrow metal wires. Nano Lett. 18, 4220–4225 (2018). [DOI] [PubMed] [Google Scholar]
- 17.Kim K., Jeong W., Lee W., Reddy P., Ultra-high vacuum scanning thermal microscopy for nanometer resolution quantitative thermometry. ACS Nano 6, 4248–4257 (2012). [DOI] [PubMed] [Google Scholar]
- 18.Menges F., Mensch P., Schmid H., Riel H., Stemmer A., Gotsmann B., Temperature mapping of operating nanoscale devices by scanning probe thermometry. Nat. Commun. 7, 10874 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gomès S., Assy A., Chapius P.-O., Scanning thermal microscopy: A review. Physica Status Solidi 212, 477–494 (2015). [Google Scholar]
- 20.Jeong W., Hur S., Meyhofer E., Reddy P., Scanning probe microscopy for thermal transport measurements. Nanosc. Microsc. Thermophys. Eng. 19, 279–302 (2015). [Google Scholar]
- 21.Zhang Y., Zhu W., Hui F., Lanza M., Borca-Tasciuc T., Muñoz Rojo M., A review on principles and applications of scanning thermal microscopy (SThM). Adv. Funct. Mater. 30, 1900892 (2020). [Google Scholar]
- 22.Reihani A., Luan Y., Yan S., Lim J. W., Meyhofer E., Reddy P., Quantitative mapping of unmodulated temperature fields with nanometer resolution. ACS Nano 16, 939–950 (2022). [DOI] [PubMed] [Google Scholar]
- 23.Mecklenburg M., Hubbard W. A., White E. R., Dhall R., Cronin S. B., Aloni S., Regan B. C., Nanoscale temperature mapping in operating microelectronic devices. Science 347, 629–632 (2015). [DOI] [PubMed] [Google Scholar]
- 24.Jiang P., Qian X., Yang R., Tutorial: Time-domain thermoreflectance (TDTR) for thermal property characterization of bulk and thin film materials. J. Appl. Phys. 124, 161103 (2018). [Google Scholar]
- 25.Yang J., Maragliano C., Schmidt A. J., Thermal property microscopy with frequency domain thermoreflectance. Rev. Sci. Instrum. 84, 104904 (2013). [DOI] [PubMed] [Google Scholar]
- 26.Xu S., Fan A., Wang H., Zhang X., Wang X., Raman-based nanoscale thermal transport characterization: A critical review. Int. J. Heat Mass Transf. 154, 119751 (2020). [Google Scholar]
- 27.Brites C. D. S., Marin R., Suta M., Carneiro Neto A. N., Ximendes E., Jaque D., Carlos L. D., Spotlight on luminescence thermometry: Basics, challenges, and cutting-edge applications. Adv. Mater. 35, e2302749 (2023). [DOI] [PubMed] [Google Scholar]
- 28.Sigal Y. M., Zhou R., Zhuang X., Visualizing and discovering cellular structures with super-resolution microscopy. Science 361, 880–887 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sahl S. J., Moerner W. E., Super-resolution fluorescence imaging with single molecules. Curr. Opin. Struct. Biol. 23, 778–787 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Klar T. A., Jakobs S., Dyba M., Egner A., Hell S. W., Fluorescence microscopy with diffraction resolution barrier broken by stimulated emission. Proc. Natl. Acad. Sci. U.S.A. 97, 8206–8210 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Blom H., Widengren J., Stimulated emission depletion microscopy. Chem. Rev. 117, 7377–7427 (2017). [DOI] [PubMed] [Google Scholar]
- 32.Vicidomini G., Bianchini P., Diaspro A., STED super-resolved microscopy. Nat. Methods 15, 173–182 (2018). [DOI] [PubMed] [Google Scholar]
- 33.Hanne J., Falk H. J., Görlitz F., Hoyer P., Engelhardt J., Sahl S. J., Hell S. W., STED nanoscopy with fluorescent quantum dots. Nat. Commun. 6, 7127 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Han K. Y., Willig K. I., Rittweger E., Jelezko F., Eggeling C., Hell S. W., Three-dimensional stimulated emission depletion microscopy of nitrogen-vacancy centers in diamond using continuous-wave light. Nano Lett. 9, 3323–3329 (2009). [DOI] [PubMed] [Google Scholar]
- 35.Thiem J., Spelthann S., Neumann J., Ruehl A., Ristau D., Three-dimensional nanothermometry below the diffraction limit. Opt. Lett. 46, 3352–3355 (2021). [DOI] [PubMed] [Google Scholar]
- 36.Yue Y., Wang X., Nanoscale thermal probing. Nano Rev. 3, 11586 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Reinhardt P. A., Crawford A. P., West C. A., DeLong G., Link S., Masiello D. J., Willets K. A., Toward quantitative nanothermometry using single-molecule counting. J. Phys. Chem. B. 125, 12197–12205 (2021). [DOI] [PubMed] [Google Scholar]
- 38.Liu Y., Lu Y., Yang X., Zheng X., Wen S., Wang F., Vidal X., Zhao J., Liu D., Zhou Z., Ma C., Zhou J., Piper J. A., Xi P., Jin D., Amplified stimulated emission in upconversion nanoparticles for super-resolution nanoscopy. Nature 543, 229–233 (2017). [DOI] [PubMed] [Google Scholar]
- 39.Zhan Q., Liu H., Wang B., Wu Q., Pu R., Zhou C., Huang B., Peng X., Ågren H., He S., Achieving high-efficiency emission depletion nanoscopy by employing cross relaxation in upconversion nanoparticles. Nat. Commun. 8, 1058 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Brites C. D. S., Balabhadra S., Carlos L. D., Lanthanide-based thermometers: At the cutting-edge of luminescence thermometry. Adv. Opt. Mater. 7, 1801239 (2019). [Google Scholar]
- 41.Zhao Y., Wang X., Zhang Y., Li Y., Yao X., Optical temperature sensing of up-conversion luminescent materials: Fundamentals and progress. J. Alloys Compd. 817, 152691 (2020). [Google Scholar]
- 42.Zhang B., Guo X., Zhang Z., Fu Z., Zheng H., Luminescence thermometry with rare earth doped nanoparticles: Status and challenges. J. Lumin. 250, 119110 (2022). [Google Scholar]
- 43.Lahtinen S., Baldtzer Liisberg M., Raiko K., Krause S., Soukka T., Vosch T., Thulium- and erbium-doped nanoparticles with poly(acrylic acid) coating for upconversion cross-correlation spectroscopy-based sandwich immunoassays in plasma. ACS Appl. Nano Mater. 4, 432–440 (2021). [Google Scholar]
- 44.Zhao J., Jin D., Schartner E. P., Lu Y., Liu Y., Zvyagin A. V., Zhang L., Dawes J. M., Xi P., Piper J. A., Goldys E. M., Monro T. M., Single-nanocrystal sensitivity achieved by enhanced upconversion luminescence. Nat. Nanotechnol. 8, 729–734 (2013). [DOI] [PubMed] [Google Scholar]
- 45.Donnert G., Keller J., Medda R., Andrei M. A., Rizzoli S. O., Lührmann R., Jahn R., Eggeling C., Hell S. W., Macromolecular-scale resolution in biological fluorescence microscopy. Proc. Natl. Acad. Sci. U.S.A. 103, 11440–11445 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Pereira A. F., Kumar K. U., Silva W. F., Santos W. Q., Jaque D., Jacinto C., Yb3+/Tm3+ co-doped NaNbO3 nanocrystals as three-photon-excited luminescent nanothermometers. Sens. Actuators B 213, 65–71 (2015). [Google Scholar]
- 47.Xing L., Xu Y., Wang R., Xu W., Zhang Z., Highly sensitive optical thermometry based on upconversion emissions in Tm3+/Yb3+ codoped LiNbO3 single crystal. Opt. Lett. 39, 454–457 (2014). [DOI] [PubMed] [Google Scholar]
- 48.Xing L., Ao R., Liu Y., Yang W., Optical thermometry based on the non-thermally coupled levels of Tm(III) in LiNbO3 crystals. Spectrochim. Acta A Mol. Biomol. Spectrosc. 222, 117159 (2019). [DOI] [PubMed] [Google Scholar]
- 49.Wang C., Jin Y., Zhang R., Yao Q., Hu Y., A review and outlook of ratiometric optical thermometer based on thermally coupled levels and non-thermally coupled levels. J. Alloys Compd. 894, 162494 (2022). [Google Scholar]
- 50.Wang L., Li X., Li Z., Chu W., Li R., Lin K., Qian H., Wang Y., Wu C., Li J., Tu D., Zhang Q., Song L., Jiang J., Chen X., Luo Y., Xie Y., Xiong Y., A new cubic phase for a NaYF4 host matrix offering high upconversion luminescence efficiency. Adv. Mater. 27, 5528–5533 (2015). [DOI] [PubMed] [Google Scholar]
- 51.Ye X., Collins J. E., Kang Y., Chen J., Chen D. T. N., Yodh A. G., Murray C. B., Morphologically controlled synthesis of colloidal upconversion nanophosphors and their shape-directed self-assembly. Proc. Natl. Acad. Sci. U.S.A. 107, 22430–22435 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Saboktakin M., Ye X., Oh S. J., Hong S.-H., Fafarman A. T., Chettiar U. K., Engheta N., Murray C. B., Kagan C. R., Metal-enhanced upconversion luminescence tunable through metal nanoparticle–nanophosphor separation. ACS Nano 6, 8758–8766 (2012). [DOI] [PubMed] [Google Scholar]
- 53.Dong A., Chen J., Vora P. M., Kikkawa J. M., Murray C. B., Binary nanocrystal superlattice membranes self-assembled at the liquid–air interface. Nature 466, 474–477 (2010). [DOI] [PubMed] [Google Scholar]
- 54.Clem J. R., Berggren K. K., Geometry-dependent critical currents in superconducting nanocircuits. Phys. Rev. B 84, 174510 (2011). [Google Scholar]
- 55.Valarezo A., Sampath S., An integrated assessment of process-microstructure-property relationships for thermal-sprayed NiCr coatings. J. Therm. Spray Technol. 20, 1244–1258 (2011). [Google Scholar]
- 56.Yin Y., Lu Y., Gates B., Xia Y., Template-assisted self-assembly: A practical route to complex aggregates of monodispersed colloids with well-defined sizes, shapes, and structures. J. Am. Chem. Soc. 123, 8718–8729 (2001). [DOI] [PubMed] [Google Scholar]
- 57.Carlson A., Bowen A. M., Huang Y., Nuzzo R. G., Rogers J. A., Transfer printing techniques for materials assembly and micro/nanodevice fabrication. Adv. Mater. 24, 5284–5318 (2012). [DOI] [PubMed] [Google Scholar]
- 58.Y. S. Touloukian, R. W. Powell, C. Y. Ho, P. G. Klemens, Thermophysical Properties of Matter - The TPRC Data Series. Volume 2. Thermal Conductivity - Nonmetallic Solids. (Purdue University, Lafayette, IN, 1971).
- 59.K. C. Liddiard, Infrared Absorption in Thin Metallic Films, thesis, University of Adelaide, Australia (1973). [Google Scholar]
- 60.Liu Y., Wen S., Wang F., Zuo C., Chen C., Zhou J., Jin D., Population control of upconversion energy transfer for stimulation emission depletion nanoscopy. Adv. Sci. 10, e2205990 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Zhang Z., Skripka A., Dahl J. C., Dun C., Urban J. J., Jaque D., Schuck P. J., Cohen B. E., Chan E. M., Tuning phonon energies in lanthanide-doped potassium lead halide nanocrystals for enhanced nonlinearity and upconversion. Angew. Chem. Int. Ed. Engl. 62, e202212549 (2023). [DOI] [PubMed] [Google Scholar]
- 62.Liang L., Feng Z., Zhang Q., Cong T. D., Wang Y., Qin X., Yi Z., Ang M. J. Y., Zhou L., Feng H., Xing B., Gu M., Li X., Liu X., Continuous-wave near-infrared stimulated-emission depletion microscopy using downshifting lanthanide nanoparticles. Nat. Nanotechnol. 16, 975–980 (2021). [DOI] [PubMed] [Google Scholar]
- 63.Lee C., Xu E. Z., Liu Y., Teitelboim A., Yao K., Fernandez-Bravo A., Kotulska A. M., Nam S. H., Suh Y. D., Bednarkiewicz A., Cohen B. E., Chan E. M., Schuck P. J., Giant nonlinear optical responses from photon-avalanching nanoparticles. Nature 589, 230–235 (2021). [DOI] [PubMed] [Google Scholar]
- 64.Lee C., Xu E. Z., Kwock K. W. C., Teitelboim A., Liu Y., Park H. S., Ursprung B., Ziffer M. E., Karube Y., Fardian-Melamed N., Pedroso C. C. S., Kim J., Pritzl S. D., Nam S. H., Lohmueller T., Owen J. S., Ercius P., Suh Y. D., Cohen B. E., Chan E. M., Schuck P. J., Indefinite and bidirectional near-infrared nanocrystal photoswitching. Nature 618, 951–958 (2023). [DOI] [PubMed] [Google Scholar]
- 65.Li L., Qin F., Zhou Y., Zheng Y., Zhao H., Zhang Z., Temperature sensing based on the 4F7/2/4S3/2−4I15/2 upconversion luminescence intensity ratio in NaYF4:Er3+/Yb3+ nanocrystals. J. Lumin. 206, 335–341 (2019). [Google Scholar]
- 66.Fischer L. H., Harms G. S., Wolfbeis O. S., Upconverting nanoparticles for nanoscale thermometry. Angew. Chem. Int. Ed. 50, 4546–4551 (2011). [DOI] [PubMed] [Google Scholar]
- 67.Wiesholler L. M., Frenzel F., Grauel B., Würth C., Resch-Genger U., Hirsch T., Yb,Nd,Er-doped upconversion nanoparticles: 980 nm versus 808 nm excitation. Nanoscale 11, 13440–13449 (2019). [DOI] [PubMed] [Google Scholar]
- 68.Pomeroy J. W., Bernardoni M., Dumka D. C., Fanning D. M., Kuball M., Low thermal resistance GaN-on-diamond transistors characterized by three-dimensional Raman thermography mapping. Appl. Phys. Lett. 104, 083513 (2014). [Google Scholar]
- 69.Brocero G., Guhel Y., Eudeline P., Sipma J. P., Gaquière C., Boudart B., Measurement of self-heating temperature in AlGaN/GaN HEMTs by using cerium oxide micro-raman thermometers. IEEE Trans. Electron Dev. 66, 4156–4163 (2019). [Google Scholar]
- 70.Zhang L., Zhong Y., Li X., Park J., Song Q., Li L., Guo L., Kong J., Chen G., Effect of twist angle on interfacial thermal transport in two-dimensional bilayers. Nano Lett. 23, 7790–7796 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Zhang L., Zhu Y., Lu Z., Zhao L., Bagnall K. R., Rao S. R., Wang E. N., Characterization of thin film evaporation in micropillar wicks using micro-Raman spectroscopy. Appl. Phys. Lett. 113, 163701 (2018). [Google Scholar]
- 72.Romshin A. M., Zeeb V., Martyanov A. K., Kudryavtsev O. S., Pasternak D. G., Sedov V. S., Ralchenko V. G., Sinogeykin A. G., Vlasov I. I., A new approach to precise mapping of local temperature fields in submicrometer aqueous volumes. Sci. Rep. 11, 14228 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Yang J., Yang H., Lin L., Quantum dot nano thermometers reveal heterogeneous local thermogenesis in living cells. ACS Nano 5, 5067–5071 (2011). [DOI] [PubMed] [Google Scholar]
- 74.Jacobs T. S., van Swieten T. P., Vonk S. J. W., Bosman I. P., Melcherts A. E. M., Janssen B. C., Janssens J. C. L., Monai M., Meijerink A., Rabouw F. T., van der Stam W., Weckhuysen B. M., Mapping temperature heterogeneities during catalytic CO2 methanation with operando luminescence thermometry. ACS Nano 17, 20053–20061 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Maestro L. M., Haro-González P., Sánchez-Iglesias A., Liz-Marzán L. M., García Solé J., Jaque D., Quantum dot thermometry evaluation of geometry dependent heating efficiency in gold nanoparticles. Langmuir 30, 1650–1658 (2014). [DOI] [PubMed] [Google Scholar]
- 76.Okabe K., Inada N., Gota C., Harada Y., Funatsu T., Uchiyama S., Intracellular temperature mapping with a fluorescent polymeric thermometer and fluorescence lifetime imaging microscopy. Nat. Commun. 3, 705 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Donner J. S., Thompson S. A., Kreuzer M. P., Baffou G., Quidant R., Mapping intracellular temperature using green fluorescent protein. Nano Lett. 12, 2107–2111 (2012). [DOI] [PubMed] [Google Scholar]
- 78.Piñol R., Zeler J., Brites C. D. S., Gu Y., Téllez P., Carneiro Neto A. N., da Silva T. E., Moreno-Loshuertos R., Fernandez-Silva P., Gallego A. I., Martinez-Lostao L., Martínez A., Carlos L. D., Millán A., Real-time intracellular temperature imaging using lanthanide-bearing polymeric micelles. Nano Lett. 20, 6466–6472 (2020). [DOI] [PubMed] [Google Scholar]
- 79.Geitenbeek R. G., Prins P. T., Albrecht W., van Blaaderen A., Weckhuysen B. M., Meijerink A., NaYF4:Er3+,Yb3+/SiO2 core/shell upconverting nanocrystals for luminescence thermometry up to 900 K. J. Phys. Chem. C 121, 3503–3510 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Kaczmarek A. M., Suta M., Rijckaert H., van Swieten T. P., Van Driessche I., Kaczmarek M. K., Meijerink A., High temperature (nano)thermometers based on LiLuF4:Er3+,Yb3+ nano- and microcrystals. Confounded results for core–shell nanocrystals. J. Mater. Chem. C 9, 3589–3600 (2021). [Google Scholar]
- 81.Runowski M., Woźny P., Stopikowska N., Martín I. R., Lavín V., Lis S., Luminescent nanothermometer operating at very high temperature—sensing up to 1000 K with upconverting nanoparticles (Yb3+/Tm3+). ACS Appl. Mater. Interfaces 12, 43933–43941 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Monachon C., Weber L., Dames C., Thermal boundary conductance: A materials science perspective. Annu. Rev. Mat. Res. 46, 433–463 (2016). [Google Scholar]
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Supplementary Materials
Supplementary Text
Figs. S1 to S17
Table S1
References






