nanite
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  • Getting started
  • Command-line interface
  • Fitting guide
  • Rating workflow
  • Scripting examples
  • Developer guide
  • Code reference
  • Changelog
  • Bilbliography
nanite
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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 3.5.1.post1.

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
    • Geometrical correction factor
    • 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
    • Contact point estimation
    • Modeling
      • Methods and constants
      • Modeling core class
      • Residuals and weighting
      • Models
    • Fitting
    • Rating
      • Features
      • Rater
      • Regressors
      • Manager
    • Quantitative maps
  • Changelog
  • Bilbliography

Indices and tables

  • Index

  • Module Index

  • Search Page

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© Copyright 2018, Paul Müller. Revision 61315c1f.

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