Lung PD-L1 AI is an automated, AI-based decision-support tool that standardizes scoring of PD-L1 IHC in non-small cell lung cancer (NSCLC) on whole slide images (WSI) in accordance with clinical scoring guidelines. Lung PD-L1 AI is seamlessly integrated into the HALO AP® diagnostic digital pathology platform.
SlideQC BF for HALO AP® is an automated, AI-powered application for H&E stained digitized slides that detects the most common artifacts including air bubbles, dust/debris, folds, out-of-focus areas, and pen marks generated during the process of slide preparation and whole slide imaging. It is seamlessly integrated into the HALO AP diagnostic digital pathology platform.
HALO Prostate AI, from Indica Labs, is a CE-IVD certified deep learning based screening tool designed to assist pathologists in the identification and grading of prostate cancer in core needle biopsies.
Quantifies area, diameter, and perimeter of muscle fibers stained with laminin or other fiber membrane stain.
Count one or two objects and measure the object area, diameter, stain intensity, and colocalization (where applicable). Microvessel and amyloid plaque quantification are most common applications.
Quantify axons in cross sections. Calculate axon area, myelin area, myelin thickness, inner and outer axon diameter, and G-ratio.
Quantifies vacuole area, diameter, perimeter, and number of vacuoles per region of interest. Measures steatosis in kidney, lipid droplets in adipose tissue, and alveolar area in lung tissue.
Module to assist in the segmentation of TMA spots for further analysis.
Quantify microglial activation based on length and thickness of microglial processes.
