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DOI: 10.3791/51662-v
SIVQ-LCM is an innovative approach that harnesses a computer algorithm, Spatially Invariant Vector Quantization (SIVQ), to drive the laser capture microdissection (LCM) process. The SIVQ-LCM workflow greatly improves the speed and accuracy of microdissection, with applications in both the research and clinical settings.
The overall goal of this procedure is to use spatially invariant, vector quantization, or SIVQ image analysis in combination with laser capture MICRODISSECTION or LCM to identify tissue features of interest and to rapidly perform directed microdissection. This is accomplished by first capturing images of the target tissue for SIVQ. The SIVQ analysis is then performed, and the SIVQ annotation is imported into the microdissection device for processing.
Ultimately, the cells of interest can be isolated by S-I-V-Q-L-C-M for downstream molecular analysis. The main advantage of this technique over existing methods is that S-I-V-Q-L-C-M streamlines the process of selecting and micro dissecting large target areas that would otherwise be challenging and time intensive by traditional laser capture micro dissection techniques. Demonstrating the procedure will be Dr.Avi Rosenberg, a clinical fellow in our laboratory, To image the tissue specimens of interest.
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