Image denoising

Synonyms
Noise reduction
Description

ZeroCostDL4Mic: exploiting Google Colab to develop a free and open-source toolbox for Deep-Learning in microscopy

ZeroCostDL4Mic is a collection of self-explanatory Jupyter Notebooks for Google Colab that features an easy-to-use graphical user interface. They are meant to quickly get you started on learning to use deep-learning for microscopy. 

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Description

 

Relate is a correlative software package optimised to work with EM, EDS, EBSD, & AFM data and images.  It provides the tools you need to correlate data from different microscopes, visualise multi-layered data in 2D and 3D, and conduct correlative analyses.

  • Combining data from different imaging modalities (e.g. AFM, EDS & EBSD)

  • Interactive display of multi-layer correlated data

  • Analytical tools for metadata interrogation

  • Documented workflows and processes

Correlate

  • Import data from AZtec using the H5oina file format
  • Import AFM data
  • Correlate both sets of data using intuitive image overlays and image matching tools
  • Produce combined multimodal datasets

Visualise

  • 2D display of multi-layered data
  • 3D visualisation of topography combined with AFM material properties, EM images, and EDS & EBSD map overlays
  • Customisation of colour palettes, data overlays, image rendering options, and document display
  • Export images and animations

Analyse

  • Generate profile (cross section) views of multimodal data
  • Measure and quantify data across multiple layers
  • Analyse areas via data thresholding using amount of x-ray counts, phase maps, height, or other material properties.
  • Select an extensive range of measurement parameters
  • Export analytical data to text or CSV files
Relate analysis workflow example
Description

Machine Learning made easy

APEER ML provides an easy way to train your own machine learning
models and segment your microscopy images. No expertise or coding required.

APEER

Description

ND-SAFIR is a software for denoising n-dimentionnal images especially dedicated to microscopy image sequence analysis. It is able to deal with 2D, 3D, 2D+time, 3D+time images have one or more color channel. It is adapted to Gaussian and Poisson-Gaussian noise which are usually encountered in photonic imaging. Several papers describe the detail of the method used in ndsafir to recover noise free images (see references).

It is available either in Metamorph (commercial version), either as command line tool. Source are available on demand.

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