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Hcat

A Hair Cell Analysis Toolbox - A collection of analysis software for automating some common cochlear image analysis

Install / Use

/learn @indzhykulianlab/Hcat
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

HCAT 2.0 - Hair Cell Analysis Toolbox GUI

The Hair Cell Analysis Toolbox originally was a collection of software tools for detecting viable hair cells, classifying type, and generating cochleograms automatically. Originally shipping with a small graphical user interface, we have vastly improved the capabilities of HCAT with a new GUI.

This gui comes with two important new features - 1. The ability to correct poor model detections and 2. the ability to perform automated detection on multi piece dissections!

To download a copy of the user manual, see here: User Manual

To see a quick screen recording of the workflow, please see here: Video Here

Quickstart Guide:

1. Installation
  1. Create a new conda environment with python 3.11 or greater: conda create -n hcat python=3.11
  2. Activate the new conda enviornment: conda activate hcat
  3. Install hcat with pip: pip install hcat
  4. launch hcat with your command line: hcat
  5. NOTE: You will have to activate the conda environment every time you re-open the command line

Related Skills

View on GitHub
GitHub Stars7
CategoryEducation
Updated9mo ago
Forks1

Languages

Python

Security Score

67/100

Audited on Jul 10, 2025

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