Skip to main content

napari plugin for colocalization single-molecule spectroscopy (CoSMoS) time series (TS) analysis

Project description

napari-cosmos-ts

napari plugin for colocalization single-molecule spectroscopy (CoSMoS) time series (TS) analysis.

Install

  1. Install the conda package manager. Simplest is to download Miniconda and run the installer.
  2. Create a virtual python environment named napari-env (or name it whatever you want) in which to install napari and this plugin. In a command shell or terminal run the following command:
conda create --name napari-env python
  1. Activate your virtual environment. !!! Note you will have to do this every time you open a new command shell or terminal. In a command shell or terminal run the following command:
conda activate napari-env
  1. Install napari and napari-cosmos-ts into your virtual environment. In a command shell or terminal where you have activated your virtual environment run the following command:
pip install "napari[all]" napari-cosmos-ts

Or for the latest version of napari-cosmos-ts:

pip install "napari[all]" napari-cosmos-ts@git+https://github.com/marcel-goldschen-ohm/napari-cosmos-ts

Run

  1. Activate your virtual environment (see Install, replace napari-env with the name of your environment). In a command shell or terminal run the following command:
conda activate napari-env
  1. Launch the napari viewer. In a command shell or terminal where you have activated your virtual environment run the following command:
napari
  1. Launch the napari-cosmos-ts plugin. From the napari viewer Plugins menu, select Colocalization Single-Molecule Time Series (napari-cosmos-ts). This should bring up a docked widget within the viewer. Now you are good to go!

User Guide

:construction:

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

napari_cosmos_ts-0.1.3.tar.gz (20.3 kB view hashes)

Uploaded Source

Built Distribution

napari_cosmos_ts-0.1.3-py3-none-any.whl (20.5 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