MedMorphIQ offers pathology researchers stain analysis without whole-slide scanning
MedMorphIQ is building pathology research software around a familiar piece of lab equipment: the microscope. Its program analyzes images of stained tissue, using AI-assisted counts that an expert can review rather than requiring a whole-slide scanner. That approach could give a lab a way to add image analysis to an existing workflow without first buying a separate scanning system. MedMorphIQ labels the product for research use only.
Working from a field of view
The software works with images from individual microscope fields, the portions of a slide visible through the microscope at one time. It is designed to quantify staining for four breast-cancer biomarkers: Ki-67, ER, PR and HER2.
These markers give researchers different ways to study tissue samples; quantification turns what appears in an image into measurements that can be reviewed.
MedMorphIQ says the analysis runs on the user's machine. The program combines automated counting with expert-guided review and can export PDF and PNG reports. The combination is intended to let researchers examine the software's work rather than treating an automated count as the final word.
From research background to lab evaluation
MedMorphIQ identifies Rishik Kolpekwar as its founder and CEO and describes his background in computer science and biomedical research. The University of Texas at Austin included Kolpekwar and MedMorphIQ in its 2026 SEAL accelerator cohort.