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 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.
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 open-source pipeline for high-throughput, non-invasive extraction of phenotypic traits from plant images using deep learning.
An R package for processing and analyzing high-dimensional morphological profiling data from image-based cell biology.
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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