Giter Site home page Giter Site logo

lbfcs2's Introduction

lbFCS2

This python package lbFCS2 allows to determine absolute docking strand numbers and local hyridization rates in individual DNA-PAINT clusters requiring only a single DNA-PAINT image aquistion, as published in 'Calibration-free counting of low molecular copy numbers in single DNA-PAINT localization clusters'. It is a revised framework of the lbFCS package, previously published in 'Towards absolute molecular numbers in DNA-PAINT'.

principle

It is suited for the application to well-separated DNA-PAINT localization clusters containing only low molecular numbers of up to six docking strands.

Pre-requirements

For ...

  • ... automated localization of the raw images,
  • ... automated undrifting,
  • ... and automated detection and isolation of all localization clusters within a DNA-PAINT image ...

it requires the picasso_addon based on the picasso package. A fixed release doi.org/10.5281/zenodo.4792396 of picasso_addon was already used in 'Tracking single particles for hours via continuous DNA-mediated fluorophore exchange' (corresponding python package can be found at SPT).

The complete installation instructions of the picasso_addon and picasso package and creation of the necessary conda environment compatible with picasso_addon, picasso, SPT and lbFCS2 can be found here picasso_addon: Installation instructions. The installation was tested on Windows 10.

All scripts for simple evaluation of data can be found in /scripts.

lbfcs2's People

Contributors

florianstehr avatar steinjohannes avatar

Watchers

 avatar

Forkers

bakasuran

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.