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Getting Started

  • Install
  • Hardware Requirements

Use Cases

  • Introduction
  • Denoising Basics with Aydin
  • Noisy ‘New York’ Test Image
  • Spinning-Disk Confocal Images of Zebrafish Embryos
  • Spinning-Disk Confocal Microscopy Images of Mouse Embryos
  • OpenCell Images
  • Chicken Embryos LSM 780 Images

Tutorials

  • Tutorials Home
  • Aydin Studio (GUI) Tutorials
  • Aydin CLI Tutorials
  • Aydin API Tutorials
    • Denoise an image using Classic
    • Denoise an image using Noise2SelfFGR
    • Denoise an image using Noise2SelfCNN
    • Deconvolving an image using aydin API
    • Denoise an image using ImageDenoiserClassic
    • Denoise an image using ImageTranslatorFGR
    • Denoise an image using ImageTranslatorCNN
    • How to implement Noise2Noise using ImageTranslatorFGR
    • How to implement supervised denoising using image translators
    • Apply attenuation transform
    • Apply deskew transform
    • Apply fixed pattern transform
    • Apply high-pass transform
    • Apply histogram equalisation transform
    • Apply motion stabilisation transform
    • Apply padding transform
    • Apply periodic noise suppression transform
    • Apply range transform
    • Apply salt-pepper transform
    • Apply variance stabilisation transform

API Reference

  • Introduction
  • Restoration
  • Image Translator
  • Transforms
  • Feature Generator
  • Regressors
  • IO
  • NN
  • Options JSON
  • Example Images Gallery

Contact Us

  • On Github
  • On image.sc
Aydin
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  • API Tutorials
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API Tutorials

We have several API tutorials below to demonstrate how to use various features of the Aydin API provides. You can also try each of them on [Google Colab platform]().

Restoration

  • Denoise an image using Classic
  • Denoise an image using Noise2SelfFGR
  • Denoise an image using Noise2SelfCNN
  • Deconvolving an image using aydin API

Image Translator

  • Denoise an image using ImageDenoiserClassic
  • Denoise an image using ImageTranslatorFGR
  • Denoise an image using ImageTranslatorCNN
  • How to implement Noise2Noise using ImageTranslatorFGR
  • How to implement supervised denoising using image translators

Transforms

  • Apply attenuation transform
  • Apply deskew transform
  • Apply fixed pattern transform
  • Apply high-pass transform
  • Apply histogram equalisation transform
  • Apply motion stabilisation transform
  • Apply padding transform
  • Apply periodic noise suppression transform
  • Apply range transform
  • Apply salt-pepper transform
  • Apply variance stabilisation transform
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