Intensity leveling and false coloring of fluorescence-based 3D histology with FalseColor-Python

Robert Serafin; Weisi Xie; Adam K. Glaser; Jonathan T. C. Liu

doi:10.1117/12.2578572

5 March 2021 Intensity leveling and false coloring of fluorescence-based 3D histology with FalseColor-Python

Robert Serafin, Weisi Xie, Adam K. Glaser, Jonathan T. C. Liu

Author Affiliations +

Proceedings Volume 11631, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX; 116310K (2021) https://doi.org/10.1117/12.2578572
Event: SPIE BiOS, 2021, Online Only

Abstract

Fluorescence-based slide-free digital pathology techniques, including 3D microscopy, are gaining interest as alternatives to traditional slide-based histology. Since pathologists are accustomed to the appearance of standard histology stains, the ability to render grayscale fluorescent images with color palettes that mimic traditional histology is valuable. We present FalseColor-Python, an open-source rapid digital-staining package that renders two-channel fluorescence images to mimic standard histology. Our package offers consistent color-space representations that are robust to both intra-specimen and inter-specimen variations in staining and imaging conditions, along with GPU-accelerated methods to process large datasets efficiently.

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Citation Download Citation

Robert Serafin, Weisi Xie, Adam K. Glaser, and Jonathan T. C. Liu "Intensity leveling and false coloring of fluorescence-based 3D histology with FalseColor-Python", Proc. SPIE 11631, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX, 116310K (5 March 2021); https://doi.org/10.1117/12.2578572

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