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Fiji (software), an image processing package based on ImageJ; KNIME - an open-source data mining environment supporting image analysis developed in close collaboration with the next generation of ImageJ; List of free and open-source software packages; Microscope image processing
Virtual Image Capture and Virtual Image Stitcher: Two software products to capture mult-field images and stitch them into one single and very large image in the fields of optical and electron microscopy (image stitching). Stereology Analyzer: Software to analyze a very large image using stereology. This extension is mainly used in the field of ...
Image SXM is an image analysis software specialized in scanning microscope images. It is based on the public domain software NIH Image (now ImageJ from the National Institutes of Health) and extended to handle scanning microscope images, especially of the SxM formats (SAM, SCM, SEM, SFM, SLM, SNOM, SPM, STM), hence its name.
Microscope image processing is a broad term that covers the use of digital image processing techniques to process, analyze and present images obtained from a microscope. Such processing is now commonplace in a number of diverse fields such as medicine , biological research , cancer research , drug testing , metallurgy , etc.
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
This is a list of software systems that are used for visualizing microscopy data. For each software system, the table below indicates which type of data can be displayed: EM = Electron microscopy; MG = Molecular graphics; Optical = Optical microscopy.
The basic process by which imaging particle analysis is carried out is as follows: A digital camera captures an image of the field of view in the optical system.; A gray scale thresholding process is used to perform image segmentation, segregating out the particles from the background, creating a binary image of each particle.
Laser Capture Microdissection. Under a microscope using a software interface, a tissue section (typically 5-50 micrometres thick) is viewed and individual cells or clusters of cells are identified either manually or in semi-automated or more fully automated ways allowing the imaging and then automatic selection of targets for isolation ...