plugin

Labkit is an open-source tool to segment truly large image data using sparse training data. It has an intuitive and responsive user interface based on Big Data Viewer, allowing users to conveniently browse and annotate even terabyte sized image volumes.

Update site: Labkit

SciView is an ImageJ/FIJI plugin for 3D visualization of images and meshes. It uses the Scenery and ClearVolume infrastructure. SciView integrates ImageJ2 functionality, including ImageJ Ops and ImageJ Mesh, to provide the ability to interact with image and mesh data in 3D and interface with the popular Fiji software ecosystem.

An update site is available: http://sites.imagej.net/SciView/

NanoJ-SQUIRREL (Super-resolution Quantitative Image Rating and Reporting of Error Locations) is a software package designed for assessing and mapping errors and artefacts within super-resolution images. This is achieved through quantitative comparison with a reference image of the same structure (typically a widefield, TIRF or confocal image). SQUIRREL produces quantitative maps of image quality and resolution as well as global image quality metrics.

InspectJ is a free ImageJ/FIJI tool to inspect digital image integrity.

InspectJ_v2 is a newer version for advanced users. It applies additional features like histogram equalization and gamma correction for improved image inspections.

OpenCV (Open Computer Vision) library for Icy. see more at http://opencv.org

NeuroMorph is a toolset designed to import, analyze, and visualize mesh models in Blender. It has been developed specifically for the morphological analysis of 3D objects derived from serial electron microscopy images of brain tissue, but much of its functionality can be applied to any 3D mesh. These mesh objects can be generated by any 3D image segmentation software, such as ilastik or Fiji. 

This is a classical workflow for spot detection or blob like structures (vesicules, melanosomes,...)

Step 1 Laplacian of Gaussian to enhance spots . Paraeters= radius, about the average spot radius

Step 2 Detect minima (using Find Maxima with light background option to get minima). Parameter : Tolerance to Noise: to be tested, hard to predict. About the height of the enhanced feautures peaks

The best way to start writing an ImageJ2 plugin (ImageJ2 developers call it command and not plugin) is to download the example command from github and modify it. There is a video tutorial on the whole workflow on how to do this on youtube.

This plugin detects a minimum cost z-surface in a 3D volume. A z surface is a topographic map indicating the altitude z as a function of the position (x,y) in the image. The cost of the surface depends on pixel intensity the surface is going through. This plugin find the z-surface with the lowest intensity in an image.

The interactive Watershed Fiji plugin provides an interactive way to explore local maxima and threshold values while a resulting label map is updated on the fly.

After the user has found a reliable parameter configuration, it is possible to apply the same parameters to other images in a headless mode, for example via ImageJ macro scripting.