Skip to main content

A collection of Python scripts for iSCAT microscopy data analysis

Project description

toolsandogh

A collection of single-file Python scripts for iSCAT microscopy data analysis.

Overview

This repository collects data analysis scripts of the Sandoghdar Division of the Max Planck Institute for the Science of Light (MPL). It provides standalone Python scripts for processing, analyzing, and visualizing microscopy data. Each script is designed to perform a specific task without dependencies on other scripts, making them easy to use and integrate into existing workflows.

Features

  • Self-contained scripts: Each script works independently
  • uv friendly: Scripts install their dependencies automatically using the uv package manager
  • Command-line friendly: All scripts support CLI usage with argparse
  • Format support: Works with common microscopy formats (RAW, TIFF, OME-TIFF, CZI, ND2, etc.)

Scripts

Script Description Usage
iscat_analysis.py iSCAT Analysis ./iscat_analysis.py -i input.tif -o output.tif

Troubleshooting

"smudge filter lfs failed" on Windows when using uv

Solution: Set the following environment variable in Powershell

$env:GIT_LFS_SKIP_SMUDGE = "1"

Guidelines for New Scripts

  • Each script should be self-contained in a single file
  • Include a detailed docstring explaining purpose and usage
  • Provide command-line arguments with sensible defaults
  • Include error handling and validation
  • Add progress indicators for long-running operations
  • Output should be clearly documented

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

toolsandogh-0.1.0.tar.gz (164.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

toolsandogh-0.1.0-py3-none-any.whl (47.2 kB view details)

Uploaded Python 3

File details

Details for the file toolsandogh-0.1.0.tar.gz.

File metadata

  • Download URL: toolsandogh-0.1.0.tar.gz
  • Upload date:
  • Size: 164.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for toolsandogh-0.1.0.tar.gz
Algorithm Hash digest
SHA256 c80ed58a7fd171e7fd88548b40a188939eafd1f4fe0e73874d2c642d97123f91
MD5 6b7a36db284598a87370a841047ce411
BLAKE2b-256 d2b47e78d75730d6ef1e854937e12e211e3dedb391b4da199c2926c134246703

See more details on using hashes here.

File details

Details for the file toolsandogh-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: toolsandogh-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 47.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for toolsandogh-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ecdab13e6ef8cd465e4f27260f27ee3bfd6a3a7927859c50e8f8f947c56c4db7
MD5 f20c7336148b554e8efb9533bdb8f72f
BLAKE2b-256 d416e7a0512bd1e27c29c8fb003bcfb3f3a9f35e5d148e554e580acb7eda0484

See more details on using hashes here.

Supported by

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