immunohistochemical-images

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24, MICCAI'26]

Repo for Tang et al, bioRxiv 454793 (2018)

Spatially-resolved Transcriptomics via Epitope Anchoring

A stainer translates HE stained slices to IHC stained slices. A solution for Breast Cancer Immunohistochemical Image Generation Challenge.

A simple toolbox of ImageJ plugins for quantifying adipocyte morphology and function in tissues and in vitro.

Complete Matlab pipeline for matching in vivo recorded cells post hoc in histology

Open Source python module to enable batch gold particle picking, filtering, processing & statistical modelling of TEM images produced by IGEM (immunogold electron microscopy).

automated analysis of immunohistochemical images

A neuroscience imaging software for relative quantification of histological brain tissues with intuitive UI. This software offers an end-to-end solution for Immunohistochemistry (IHC) dry lab workflows. Designed for Neuroscience Research and Scientific Publication. Deployed in Biotechnology laboratories in SPPU & RTMNU.

Image processing desktop GUI tool to automate colocalization analysis across multiple channels on a fluorescence image

Morphometric analysis of neuromuscular junction microscopy images, and protein distribution and localisation analysis of immunohistochemically-labelled microscopy images.

Custom software to allow manual counting of neurons labeled by the pesudorabies (PRV) virus. This software was written for the Texas Biomedical Device Center at UT Dallas. Images must be converted from their native format to the Microsoft "DeepZoom" format. This software relies on Node Webkit and OpenSeadragon.