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Microtubule Quantitative Analysis Tool
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bioView3D is an open source and cross-platform application intended for biologists to visualize 3D stack (laser scanning confocal, etc.) imagery. It runs on Windows, MacOS X and Linux. Features
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The Center for Bio-Image Informatics is supported by the following NSF awards: NSF Information Technology Research (ITR) award No. 0331697, NSF infrastructure award No. EIA-0080134, and NSF award III-0808772. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).
All public images retain copyright of their respective authors and must be properly referenced following our Terms of use
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MtQAT is a microtubule tracking and quantitative analysis software tool. MtQAT is in development for the analysis of microtubule dynamic instability. 
Documentation
This application is designed to simplify the image annotation process. It allows researchers to create meta-data required by the bio-image database. It can also update, print and upload existing information. 
3D Nuclei Detector Matlab Toolbox allows you to automatically identify nuclei centroid locations on 3D confocal microscopic images. Furthermore these locations can be used for posterior analysis
such as nuclei outline segmentation or membrane segmentation.
This application is a command line image conversion utility. It can read and write many image formats, extract ROI and meta-data stored in images. Accepted image formats are: BioRad PIC, TIFF, OME-TIFF, Metamorph STK (uncompressed and LZW compressed), Fluoview, Olympus Image Binary (OIB), Carl Zeiss LSM 5, PSIA TIFF, Nanoscope II/III, JPEG, PNG, BMP, IBW, OME, RAW and video: QuickTime, AVI, MPEG1/2/4, Flash, etc.
bioView is an open source and cross-platform application intended for biologists to visualize EM, Confocal, etc. imagery. It runs on Windows, MacOS X and Linux. It also provides access from the remote controller that simplifies usage of the very large screens e.g. 8000x4800 pixels composed by many monitorsa and is used on iWall.