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## Features >The IJBlob library indentifying connected components in binary images. The algorithm used for connected component labeling is: >Chang, F. (2004). A linear-time component-labeling algorithm using contour tracing technique. Computer Vision and Image Understanding, 93(2), 206–220. doi:10.1016/j.cviu.2003.09.002 ##Reference Wagner, T and Lipinski, H 2013. IJBlob: An ImageJ Library for Connected Component Analysis and Shape Analysis. Journal of Open Research Software 1(1):e6, DOI:

A workflow combining ImageJ macro and manually using Trainable Weka Segmentation plugin for counting clumped cells.

An ImageJ macro for calculating empty surfaces on histological slices (ex: tubules in a kidney).

A menu item in ImageJ that allows you to inspect a 3D stack with orthogonal views (XY, XZ, YZ planes). Slicing plane could be interactively moved by dragging crosses. Pedro Almada wrote a plugin to save the current orthogonal views as montage. ## ImageJ Macro Usages [Save orthogonal views | OrthoSaver](http://uic.igc.gulbenkian.pt/macros/OrthoSaver.ijm) >ImageJ's orthogonal viewer for 3D stacks doesn't let you easily save the current orthogonal view. This macro, once installed, lets users create a montage with the currently open orthogonal views and selection guides. To use it, open an image z-stack and open the orthogonal viewer. With the mouse, choose which are the sections of interest to you and without moving the mouse, press F2. You'll get a montage of the currently selected orthogonal view.

ITK-SNAP is a software application used to segment structures in 3D medical images. It can also be used as a 3D annotation tool for deep learning. It is based on ITK, VTK libraries.