CellProfiler
A powerful tool for AI in Biology
CellProfiler
Open-source software for quantitative analysis of biological images, utilizing machine learning for identifying and measuring cells.
Overview
CellProfiler allows biologists to quantitatively measure phenotypes from thousands of images automatically. It includes advanced machine learning modules (CellProfiler Analyst) to classify complex cellular morphologies.
Features
- Modular Pipelines: Users build analysis workflows by combining image processing modules.
- Machine Learning: Train classifiers to recognize specific cell states or phenotypes.
- High-Throughput: Designed to handle large datasets from microscopy screens.
Reviews & Ratings
Tool Details
Similar Alternatives
AlphaFold
An AI system developed by Google DeepMind that predicts a protein's 3D structure from its amino acid sequence with atomic accuracy.
RoseTTAFold
A deep learning tool from the Baker Lab that predicts protein structures and interactions, capable of modeling multi-protein complexes.
DeepVariant
A deep learning genomic variant caller developed by Google that uses a convolutional neural network to call genetic variants from next-generation sequencing data.