AIMC Topic: Fluorescent Antibody Technique
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SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images.
Briefings in bioinformatics
Mar 10, 2022
With the rapid growth of high-resolution microscopy imaging data, revealing the subcellular map of human proteins has become a central task in the spatial proteome. The cell atlas of the Human Protein Atlas (HPA) provides precious resources for recog...
DULoc: quantitatively unmixing protein subcellular location patterns in immunofluorescence images based on deep learning features.
Bioinformatics (Oxford, England)
Jan 12, 2022
MOTIVATION: Knowledge of subcellular locations of proteins is of great significance for understanding their functions. The multi-label proteins that simultaneously reside in or move between more than one subcellular structure usually involve with com...
Machine learning analyses of highly-multiplexed immunofluorescence identifies distinct tumor and stromal cell populations in primary pancreatic tumors.
Cancer biomarkers : section A of Disease markers
Jan 1, 2022
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge for patients and clinicians.
Multiplex computational pathology for treatment response predication.
Cancer cell
Aug 9, 2021
Recently published in Science, AstroPath outlines a standardized workflow for multiplex immunofluorescence (mIF) panel development, imaging, and analysis; showcases its potential in biomarker discovery for predicting response to anti-PD-1 treatment; ...
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