Skip to main content

Mycobacteria-Optimized Microscopy Image Analysis

Project description

Introduction

MOMIA (or Mycobacteria Optimized Microscopy Image Analysis) is a python based image analysis toolkit optimized for dealing with mycobacterial cells. Given a single or a set of fluorescent microscopic image(s), OMEGA renders accurate object segmentation and graphical representation of fluroescent or morphological profiles at both the single cell level and the populational level. OMEGA was developed to analyze a M. smegmatis fluorsecent protein tagging library (Mycobacterial Systems Resource, Dendra, or MSR-Dendra) which accounts for over 1,000 highly conserved mycobacterial genes. You may find the MSR-Dendra dataset (along with many other amazing mycobacterial resources) on this website.

MOMIA is still under development, please use with caution.

Installation

To install MOMIA from the Python Package index (PyPi) , make sure you have pip installed, then run:

$ pip install momia

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

MOMIA-0.0.1.tar.gz (60.2 kB view hashes)

Uploaded Source

Built Distribution

MOMIA-0.0.1-py3-none-any.whl (66.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page