Nanite is a Python library for loading, fitting, and rating AFM force-distance data of cells and tissues. This is the documentation of nanite version 1.6.3.post15.

Documentation

• Getting started
  • Installation
  • What is nanite?
  • Supported file formats
  • Use cases
  • Basic usage
    • How to cite
• Command-line interface
  • nanite-setup-profile
  • nanite-fit
  • nanite-rate
  • nanite-generate-training-set
• Fitting guide
  • Preprocessors
  • Models
  • Parameters
  • Workflow
    • Command-line usage
    • Scripting usage
• Rating workflow
  • Rating experimental data manually
  • Generating the training set
  • Applying the training set
• Scripting examples
  • Approximating the Hertzian model with a spherical indenter
  • Fitting and rating
• Developer guide
  • How to contribute
  • Updating the documentation
  • Writing model functions
    • Getting started
    • Ancillary parameters
• Code reference
  • Module level aliases
  • Force-indentation data
  • Groups
  • Loading data
  • Preprocessing
  • Modeling
    • Methods and constants
    • Models
  • Fitting
  • Rating
    • Features
    • Rater
    • Regressors
    • Manager
  • Quantitative maps

• Changelog
• Bilbliography

Indices and tables

• Index

• Module Index

• Search Page