🔬 Best AI tools for Imaging & pathology (2026)

Cell segmentation, microscopy analysis and computational pathology models.

10 tools · 8 open source · each entry links to its website, code and paper.

Dated by release date, else first public paper, preprint or release date; undated tools listed after, A–Z.

BiomedParse

Foundation model for joint segmentation, detection and recognition across nine biomedical imaging modalities.

Imaging & pathologyOpen source#segmentation#foundation-model

Prov-GigaPath

Whole-slide digital pathology foundation model.

Imaging & pathologyOpen source#pathology#foundation-model

CONCH

Vision-language foundation model for histopathology.

Imaging & pathologyOpen source (non-commercial)#pathology#vlm

UNI

General-purpose self-supervised foundation model for computational pathology.

Imaging & pathologyOpen source (non-commercial)#pathology#foundation-model

micro-sam

Segment Anything for microscopy.

Imaging & pathologyOpen source#segmentation#sam

Cellpose

Generalist deep learning model for cellular segmentation.

Imaging & pathologyOpen source#segmentation

napari

Fast, interactive multi-dimensional image viewer for Python.

Imaging & pathologyOpen source#viewer#python

StarDist

Star-convex object detection for nuclei segmentation.

Imaging & pathologyOpen source#segmentation#nuclei

QuPath

Open-source software for digital pathology and whole slide image analysis.

Imaging & pathologyOpen source#pathology#wsi

CellProfiler

Image analysis software for high-throughput cell phenotyping.

Imaging & pathologyOpen source#high-content