16 March 2023Label-free multiple histochemical virtual staining enabled by multiwavelength autofluorescence microscopy and deep learning (Conference Presentation)
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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.
Ivy Hei Man Wong,Weixing Dai,Claudia Tung Kei Lo,Simon Chi Kwan Chan, andTerence 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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Ivy Hei Man Wong, Weixing Dai, Claudia Tung Kei Lo, Simon Chi Kwan Chan, 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