afMLevel/CITATION.cff at main · mayatek1/afMLevel · GitHub

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cff-version: 1.2.0
title: afMLevel: Deep Learning for Levelling AFM Data

message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software

authors:
  - given-names: Maya
    family-names: Tekchandani
    email: pymte@leeds.ac.uk
    affiliation: University of Leeds

  - given-names: Daniel E.
    family-names: Rollins
    email: d.e.rollins@leeds.ac.uk
    affiliation: University of Leeds
    orcid: https://orcid.org/0009-0008-5324-7679

  - given-names: George R.
    family-names: Heath
    email: G.R.Heath@leeds.ac.uk
    affiliation: University of Leeds
    orcid: https://orcid.org/0000-0001-6431-2191

abstract: >-
  Python package for automatic levelling of atomic force microscopy (AFM) data
  using pre-trained U-Net models for background prediction and feature-aware
  image processing.

keywords:
  - AFM
  - atomic force microscopy
  - high-speed AFM
  - machine learning
  - U-Net
  - neural network
  - ML
  - AI
  - image analysis
  - microscopy
  - nanoscience

version: 0.1.1
date-released: 2026-05-13

repository-code: https://github.com/mayatek1/afMLevel
url: https://github.com/mayatek1/afMLevel

license: BSD-3-Clause