Awesome Biological Image Analysis

URL: https://github.com/hallvaaw/awesome-biological-image-analysis#readme
Category: Themed Directories
Tags: biology, computer-vision, awesome-lists

Overview

Awesome Biological Image Analysis is a curated GitHub list of software, tools, pipelines, plugins, and learning resources for image analysis tasks arising from biological research questions. It focuses on computational techniques to extract quantitative and qualitative information from biological images.

Features

• Curated directory of tools and resources

  • Focused specifically on biological image analysis
  • Includes software, libraries, plugins, and pipelines
  • Contains learning materials and publications

• Topical organization (sections in the list)

  • General image analysis software
  • Image processing and segmentation
  • Ecology
  • Neuroscience
  • Plant science
  • Fluorescence in situ hybridization (FISH)
  • Electron and super‑resolution microscopy
  • Image restoration and quality assessment
  • Cell migration and particle tracking
  • Pathology
  • Mycology
  • Microbiology
  • Yeast imaging
  • Other (miscellaneous tools and resources)
  • Publications related to biological image analysis
  • Similar lists and repositories

• Project & community files

  • README.md describing the list and its structure
  • LICENSE.md specifying usage terms
  • CODE_OF_CONDUCT.md outlining expected community behavior
  • CONTRIBUTING.md describing how to propose additions or changes

• Awesome-list compliance

  • Labeled and structured as an Awesome list
  • Includes a dedicated SVG badge/logo for the list

Use Cases

• Discovering suitable software and libraries for analyzing biological image data
• Finding domain‑specific tools (e.g., for neuroscience, pathology, microbiology)
• Exploring pipelines and plugins for microscopy image processing and segmentation
• Locating resources for image restoration, quality assessment, and tracking
• Identifying relevant publications and related curated lists in the field

Pricing

• Not a commercial product or service.
• Access to the list and repository contents is free and open-source under the repository’s license.