Image analysis is a crucial step in the microarray process. TIGR Spotfinder was designed for the rapid, reproducible and computer-aided analysis of microarray images and the quantification of gene expression. TIGR Spotfinder reads paired 16-bit or 8-bit TIFF image files generated by most microarray scanners. Semi-automatic grid construction defines the areas of the slide where spots are expected. Automatic and manual grid adjustments help to ensure that each rectangular grid cell is centered on a spot. Two available segmentation methods (histogram and Otsu) define the boundaries between each spot and the surrounding local background. Spot intensities are calculated as an integral of non-saturated pixels, although other options including spot median and mean values are available. Local background subtraction for each reported value is applied by default but can be disabled. The calculated intensities, medians, and means along with each spot position on the array, spot area, background values, and quality control flags are written to a MEV file or the database. Reusable grid geometry files and automatic grid adjustment allow user to analyze large quantities of images in a consistent and efficient manner. To complement the automated methods, particularly in noisy areas of the slide, the user may manually identify or discard spots. Quality control views allow the user to assess systematic biases in the data. TIGR Spotfinder was written in C++.
Copyright © 2005, Dana-Farber Cancer Institute, 44 Binney St, Boston, MA, USA.
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Last modified: 12/06/2005
The Manual is a detailed description of the workings of Spotfinder.
Spotfinder version 3.0 and higher are available for Mac, Windows and Linux platforms.
The powerpoint slides here contain the slides our group uses to teach courses on the program.
The frequently asked questions page is very helpful in troubleshooting problems in installation and usage of Spotfinder.
If the above resources don't answer your questions, please contact email@example.com for more help.