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. 2022 May 2;3(4):544–556. doi: 10.1016/j.fmre.2022.03.025

Fig. 5.

Fig 5

Actual development of a transfer learning-based quantitative detection system for UCNP-LFAs. (a) Mobile phone application matched with the device, which can control the self-test and operation of the device through communication with the device, and can display the detection results in real-time, (b) UCNP-LFAs quantitative detection device based on transfer learning, which is portable and highly accurate due to the introduction of transfer learning, and does not need to rely on computing units with high computing power, with data localization being able to solve data privacy problems, and (c) the actual internal structure of the assay instrument.