Git Product home page Git Product logo

aidahisto's Introduction

AIDAhisto

Atlas-based imaging data analysis tool for quantitative mouse brain histology

Software to automatically detect cells in histological mouse brain and spinal cord sections. Tested for different immunostainings (e.g., GFAP, Iba1, and MAP2) and histological stainings (e.g., Nissl). The Allen Mouse Brain/Spinal Cord Atlas is used to register the microscopy files. Cell counting results are reported as cells per brain region.

Information about Version 1.2 (current) / Version 1.1 / Version 1.0

EXAMPLES

FEATURES

Please note that we stopped supporting Python-based tools. All corresponding tools are available for Matlab.
  • Includes a custom version of the Allen Mouse Brain/Spinal Cord Atlas with a list of annotations

  • Instruction on how to register the atlas with microscopy files using ImageJ

  • Automated cell counting

  • Cell counting works for immunostainings and histological stainings; the cell nuclei position (e.g. based on a DAPI staining) can be used to improve the cell counting (only cells with a cell nuclei will be counted)

GET STARTED

Download the modified atlas files and the test images (including representative results) here. For details on installation and use, see the step-by-step guide in the Manual v1.2.

CITATION

When applying or modifying AIDAhisto, please always cite the original reference: Pallast, N., et al. "Atlas-based imaging data analysis tool for quantitative mouse brain histology (AIDAhisto)" Journal of Neuroscience Methods, 2019

CONTACT

Chat with us Gitter

or

join our Open Office Hour - each Thursday 4:30 pm (UTC+2) Zoom

Markus Aswendt ([email protected])alt text


LICENSE CC BY-NC-SA 4.0

REFERENCES

aidahisto's People

Contributors

npallast avatar lscharwaechter avatar maswendt avatar aswendtlab-admin avatar arefks avatar victorverafrazao avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.