Label-free multiple histochemical virtual staining enabled by multiwavelength autofluorescence microscopy and deep learning (Conference Presentation)

Ivy Hei Man Wong; Weixing Dai; Claudia Tung Kei Lo; Simon Chi Kwan Chan; Terence Tsz Wai Wong

doi:10.1117/12.2647804

16 March 2023 Label-free multiple histochemical virtual staining enabled by multiwavelength autofluorescence microscopy and deep learning (Conference Presentation)

Ivy Hei Man Wong, Weixing Dai, Claudia Tung Kei Lo, Simon Chi Kwan Chan, Terence Tsz Wai Wong

Author Affiliations +

Proceedings Volume PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023; PC1239102 (2023) https://doi.org/10.1117/12.2647804
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

In this work, a multiwavelength autofluorescence virtual instant stain (MAVIS) workflow is proposed to provide a multiple virtual staining solution to facilitate clinical diagnosis. Multiple ultraviolet excitation and visible emission wavelengths are used to highlight different biomolecules while a weakly supervised algorithm provides a robust and accurate virtual staining with adjacent tissue slices. The result of MAVIS with three histochemical stains on human tissue slices achieves a multi-scale structural similarity index measure > 0.6, demonstrating the potential of multiple virtual staining as a rapid and low-cost alternative to the current histological workflow.

Conference Presentation

Citation Download Citation

Ivy Hei Man Wong, Weixing Dai, Claudia Tung Kei Lo, Simon Chi Kwan Chan, and Terence Tsz Wai Wong "Label-free multiple histochemical virtual staining enabled by multiwavelength autofluorescence microscopy and deep learning (Conference Presentation)", Proc. SPIE PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, PC1239102 (16 March 2023); https://doi.org/10.1117/12.2647804

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