Image Analysis
Showing 21 of 57 projects
A curated list of software, datasets, and publications for image-based profiling of biological phenotypes in drug discovery and cell biology.
An R package for 3D visualization and analysis of biological image data, especially single neuron tracings.
An R package for image processing and analysis with a focus on microscopy and biological imaging.
An R package for 3D visualization and analysis of biological image data, especially single neuron tracings.
Detects humans in images and estimates their poses by identifying body parts and connecting them with pose lines.
A collection of Directus extensions that use AI services to describe images and extract text from images.
An R package for processing and analyzing high-dimensional morphological profiling data from image-based cell biology.
An open-source pipeline for high-throughput, non-invasive extraction of phenotypic traits from plant images using deep learning.
A sample iOS app that uses IBM Cloud Functions and Watson Visual Recognition to automatically tag images and detect faces.
A machine learning pipeline that predicts 70 cell health phenotypes from Cell Painting image-based morphology profiles.
An attentive bilateral contextual network for efficient semantic segmentation of fine-resolution remote sensing images.
An open-source image processing tool for histological image preprocessing and augmentation to improve deep learning model development.
A Python library for processing lattice light-sheet microscopy data, automating parameter detection and image corrections.
A collection of Fiji/ImageJ plugins for trabecular geometry and whole bone shape analysis in skeletal biology.
An ImageJ macro for calculating the Modulation Transfer Function (MTF) from knife-edge or slanted-edge measurements.
A modular ImageJ/Fiji plugin for assembling image and object analysis workflows with batch processing capabilities.
A Facebook Messenger bot that analyzes images using Google Cloud Vision API to provide insights like face detection, text recognition, and content moderation.
A user-friendly tool for automated quantitative characterization of filamentous fungi morphology and growth from basic images.
Fiji/ImageJ macros to quickly add a scale bar to an image, with size relative to image dimensions for consistent appearance.
A Python package for analyzing high-throughput single-cell imaging data, including protein abundance, endocytosis, and particle tracking.
iOS app that analyzes images using Watson Visual Recognition with custom-trained Core ML models.
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