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. 2022 Jun 18;12:10296. doi: 10.1038/s41598-022-14042-y

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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The colorization network input and output images of human skin tissue slide. (a) TA-PARS non-radiative absorption contrast image captured using a TA-PARS microscope. (b) TA-PARS radiative absorption contrast of the same tissue using the same microscope. (c) TA-PARS optical scattering contrast. (d) TA-PARS image of all three channels (network input to be colorized). (e) Colorized TA-PARS image using Pix2Pix model. (f) Histologically stained tissue of the same region taken on a bright field microscope, the ground truth for the virtual staining framework. Scale bar: 100 µm.