PodoCount: Labeled Podocyte Quantification Tool
We have developed PodoCount, an automated tool for podocyte detection and three-dimensional quantification from histologic sections of renal tissue biopsy whole slide images (WSIs) with podocytes labeled using immunohistochemistry labels.
PodoSighter: Label-Free Podocyte Detection
We have developed PodoSighter, a cloud-based tool for automated, label-free podocyte detection and three-dimensional quantification from periodic acid-Schiff-stained histologic sections of renal tissue biopsy WSIs.
Computational Segmentation and Quantification of Interstital Fibrosis, Tubular Atrophy, & Glomerulosclerosis
A machine learning (ML) pipeline is developed to conduct reliable, digital, and automated detection of interstitial fibrosis and tubular atrophy (IFTA).
Computational Segmentation and Classification of Diabetic Glomerulosclerosis
We developed a digital pipeline to classify renal biopsies from patients with diabetic nephropathy (DN). We combined traditional image analysis with modern machine learning to efficiently capture important structures, minimize manual effort and supervision, and enforce biologic prior information onto our model.
Supervised Computational Detection of Glomeruli in Renal Biopsies
We have developed a supervised computational pipeline to detect glomeruli from digital renal biopsy WSIs.
Unsupervised Computational Labeling of Glomerular Textural Boundaries in Renal Pathology
We have developed an unsupervised automated quantification of glomerulus from digital renal biopsy WSIs.