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.
- Running Podosighter
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.
Underline indicates corresponding author.
* indicates equal contribution.
§ indicates post doctoral associates.
† indicates Dr. Sarder’s graduate students.
‡ indicates Dr. Sarder’s undergraduate Students.