Imaging

Description

The BioVoxxel Toolbox is a suite which contains plugins and some macros dealing with image filtering, image segmentation and binary image processing and analysis. The following plugins are hosted here:

  • Extended Particle Analyzer
  • Binary Feature Extractor
  • Speckle Inspector
  • Watershed Irregular Features
  • EDM Binary Operations
  • Filter Check
  • Pseudo flat-field correction
  • Convoluted Background Subtraction
  • 2D Particle Distribution (Distribution_Analysis)
  • Cluster Indicator
  • SSIDC Cluster Indicator
  • Gaussian weighted Median filter
  • Adaptive Filter
  • Enhance True Color Contrast
  • Mode and Differential Limited Mean Binarization
  • Basic Recursive Filter
has topic
Description

TissUUmaps is a browser-based tool for fast visualization and exploration of millions of data points overlaying a tissue sample. TissUUmaps can be used as a web service or locally in your computer, and allows users to share regions of interest and local statistics.

Description

MATLAB app to characterize nanoparticles imaged with super-resolution microscopy. nanoFeatures will read text and csv files from the NIKON and ONI microscopes and from the ThunderSTORM Fiji plugin, then cluster the localizations and filter by size and sphericity and finally output nanoparticle features like size, aspect ratio, and number of localizations per cluster (total and for each channel).

GUI first tab to browse and input files, select input type and check extra filters if needed.
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

Viv

Description

Viv is a JavaScript library providing utilities for rendering primary imaging data. Viv supports WebGL-based multi-channel rendering of both pyramidal and non-pyramidal images. The rendering components of Viv are provided as Deck.gl layers, facilitating image composition with existing layers and updating rendering properties within a reactive paradigm.

Rendering a pyramidal, multiplexed immunofluorescence OME-TIFF image of a human kidney using additive blending to render four image channels into a single RGB image in the client.