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Mango (Multi-Image Analysis GUI) is a non-commercial software for viewing, editing and analyzing volumetric medical images. Mango is written in Java, and distributed freely in precompiled versions for Linux, Mac OS and Microsoft Windows. It supports NIfTI, ANALYZE, NEMA and DICOM formats and is able to load and save 2D, 3D and 4D images.
A primary advantage of using ex vivo tissues is the ability to perform tests or measurements that would otherwise not be possible or ethical in living subjects. Tissues may be removed in many ways, including in part, as whole organs, or as larger organ systems. [citation needed] Examples of ex vivo specimen use include: [citation needed]
Imaging of engineered E. coli Nissle 1917 in the mouse gut. Bioluminescence imaging (BLI) is a technology developed over the past decades (1990's and onward). [1] [2] [3] [when?] that allows for the noninvasive study of ongoing biological processes [4] [1] [5] [6] [7] Recently, bioluminescence tomography (BLT) has become possible and several systems have become commercially available.
LONI Pipeline, Laboratory of Neuro Imaging, USC; Lead-DBS; Mango [3] NITRC The Neuroimaging Informatics Tools and Resources Clearinghouse. An NIH funded database of neuroimaging tools; NeuroKit, a Python open source toolbox for physiological signal processing; Neurophysiological Biomarker Toolbox
In systems biology, live single-cell imaging is a live-cell imaging technique that combines traditional live-cell imaging and time-lapse microscopy techniques with automated cell tracking and feature extraction, drawing many techniques from high-content screening. It is used to study signalling dynamics and behaviour in populations of ...
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Optical imaging, using light as an investigational tool for biological research and medical diagnosis; Optoacoustic imaging, using the photothermal effect, for the accuracy of spectroscopy with the depth resolution of ultrasound; Photoacoustic Imaging, a technique to detect vascular disease and cancer using non-ionizing laser pulses
Moreover, live-cell imaging often employs special optical system and detector specifications. For example, ideally the microscopes used in live-cell imaging would have high signal-to-noise ratios, fast image acquisition rates to capture time-lapse video of extracellular events, and maintaining the long-term viability of the cells. [26]