Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.
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Updated
Jul 12, 2021 - TeX
Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.
Automated segmentation of H&E and Immunohistochemistry stained synovial tissue in histopathology Whole Slide Images - MIUA 2023
Cell segmentation of multi-channel images
IHC scoring of multi-channel images
Image processing desktop GUI tool to automate colocalization analysis across multiple channels on a fluorescence image
An immunohistochemistry cell-counting (quantifying) neural network (CSRNet PyTorch) that was trained on KRT14, KRT5, and Ki67 stains (and of course DAPI).
IHC image real time analyzer
The source code & experiments for the paper: Assessment of Ki-67 proliferation index with deep learning in DCIS (ductal carcinoma in situ)
Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.
An application for exporting and analysing tissue array whole slide image files
🌸 Breast epithelium segmentation through IHC-guided supervision
ImaGene: A multi-omic ML/AI software with guided operational reports and supporting files
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
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