ColiCoords
ColiCoords transforms Cartesian coordinates from transmission light, fluorescence images, and single-molecule localization microscopy (SMLM) data into a cellular coordinate system for rod-like bacterial cells to enable single-cell structuring and population-level quantitative analysis.
Key Features:
- Single-Cell Level Structuring: Organizes microscopy data at the single-cell level using a coordinate system tailored for rod-like bacterial cells.
- Coordinate Transformation: Converts Cartesian coordinates from transmission light, fluorescence images, and SMLM into cellular coordinates.
- Multi-Cell Data Integration: Aligns and combines cellular coordinates from multiple cells to increase statistical power across fluorescence microscopy datasets.
- Supported Data Types: Explicit handling of transmission light images, fluorescence images, and single-molecule localization microscopy (SMLM) data.
Scientific Applications:
- Single-Molecule Localization Analysis: Analysis of protein machineries and cellular processes in rod-like bacteria using SMLM and fluorescence datasets.
- Population-Level Quantitative Comparison: Aggregation of cellular coordinates across cells for statistical assessment of spatial distributions and localization patterns.
Methodology:
Transforms Cartesian coordinates from transmission light, fluorescence images, and SMLM into a rod-like cellular coordinate system, structures data per cell, and aggregates cellular coordinates across cells for population-level analysis.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 6/20/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Smit JH, Li Y, Warszawik EM, Herrmann A, Cordes T. ColiCoords: A Python package for the analysis of bacterial fluorescence microscopy data. PLOS ONE. 2019;14(6):e0217524. doi:10.1371/journal.pone.0217524. PMID:31216308. PMCID:PMC6583990.