Microscopy Image Browser Getting Started
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Contents
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Brief description -
Starting the program -
Links
Brief description
Rapid development of multidimensional microscopy imaging techniques in recent years has raised a number of questions about effective image processing, visualization, and analysis of the obtained datasets.
Most universities worldwide provide access to modern imaging techniques, allowing researchers to easily obtain descriptive multidimensional datasets of their desired specimens. After acquisition, the datasets need to be analyzed, and often detailed analysis is impossible without segmentation (creating a model) of objects of interest from the multidimensional data. Segmentation is often the most time-consuming part of the image analysis routine. For example, properly segmenting a single electron tomogram can take up to a month. The slowness of this process can be attributed to two main factors: a limited variety of good software tools (even commercial ones) and a lack of user-friendly segmentation algorithms that can facilitate the modeling. As a result, the amount of collected data that is not properly processed is much higher than the amount of produced results.
To address this problem, we have developed Microscopy Image Browser (MIB), an open-source software package that can be used for image processing, analysis, segmentation, and visualization of multidimensional datasets. MIB is designed to work in both the MATLAB environment and as a stand-alone package.
Please note that the distributed compiled version of MIB has been compiled using an academic license of MATLAB. As a result, it is limited to academic research and also may not have all the features available in the full MATLAB version.
Starting the program
To install the program, please follow the steps described in the Installation section.
To start Microscopy Image Browser, type the following command in the main MATLAB window:>> mibFor detailed information on the functioning of the program, refer to the following links, especially the User Guide section.
Links
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