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UF Health University of Florida
Computational Microscopy Imaging Laboratory Section of Quantitative Health in the Department of Medicine
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Software Overview

PodoSighter

PodoSighter is a cloud-based tool for automated, label-free podocyte detection and three-dimensional quantification from periodic acid-Schiff-stained histologic sections.  The cloud based instance is available via our HistoCloud portal.  All the codes, WSIs, trained models, video tutorial, as well as a docker image to set a user friendly cloud instance of the tool are made available for the community.

Podosighter plugin on the cloud. 
Podosighter plugin on the cloud. 

Resources

  • Running Podosighter

Select References

D. Govind, J. U. Becker, J. Miecznikowski, A. Rosenberg, J. Dang, P. L. Tharaux, R. Yacoub, F. Thaiss, P. F. Hoyer, D. Manthey, B. Lutnick, A. M. Worral, I. Mohammad, V. Walavalkar, J. E. Tomaszewski, K. Y. Jen, and P. Sarder, “PodoSighter: A cloud-based tool for label-free podocyte detection in kidney whole slide images,” Journal of the American Society of Nephrology, vol. 32, no. 11, pp. 2795-2813, Nov. 2021.