AI Article Synopsis
- Image analysis is essential for extracting quantitative data from biological images and plays a key role in developmental biology research.
- The segmentation process involves isolating specific objects from 2D images or 3D stacks, followed by measuring and classifying these objects.
- This chapter highlights three free software tools—ImageJ, MIPAV, and VisSeg—focusing on their use for effective segmentation, with VisSeg being particularly specialized for accurate segmentation of cells and cell nuclei.
Article Abstract
Image analysis is vital for extracting quantitative information from biological images and is used extensively, including investigations in developmental biology. The technique commences with the segmentation (delineation) of objects of interest from 2D images or 3D image stacks and is usually followed by the measurement and classification of the segmented objects. This chapter focuses on the segmentation task and here we explain the use of ImageJ, MIPAV (Medical Image Processing, Analysis, and Visualization), and VisSeg, three freely available software packages for this purpose. ImageJ and MIPAV are extremely versatile and can be used in diverse applications. VisSeg is a specialized tool for performing highly accurate and reliable 2D and 3D segmentation of objects such as cells and cell nuclei in images and stacks.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8366556 | PMC |
| http://dx.doi.org/10.1007/978-1-60327-292-6_16 | DOI Listing |
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