Comparative Analysis of Neuronal Segmentation Methods for Single Cell Signal Extraction
Gómez, Mario (2019)
2019
Master's Degree Programme in Health Sciences
Lääketieteen ja terveysteknologian tiedekunta - Faculty of Medicine and Health Technology
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Hyväksymispäivämäärä
2019-08-16
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-201906081922
https://urn.fi/URN:NBN:fi:tuni-201906081922
Tiivistelmä
In the Molecular Signaling Laboratory (MSLab), when working with neuronal cells that have been treated with a dye agent, a parameter extraction protocol is followed, mainly the intensity of the image, which requires advanced knowledge in programming languages and tools, as well as a prudent time to extract the information. The investigator, on most occasions, is limited by its researcher background.
In this work, the master degree student has developed a tool that offers the extraction of the results, without necessitating the knowledge in image processing languages, and exposes them in plots that make it easier the interpretation for the investigator. This software also allows the export of the results in an Excel file.
On this project, a method has been implemented that performs cellular segmentation and extracts the information in an image processing language, and desktop software that uses that method, transparently to the researcher, and exposes the results in graphs.
In this work, the master degree student has developed a tool that offers the extraction of the results, without necessitating the knowledge in image processing languages, and exposes them in plots that make it easier the interpretation for the investigator. This software also allows the export of the results in an Excel file.
On this project, a method has been implemented that performs cellular segmentation and extracts the information in an image processing language, and desktop software that uses that method, transparently to the researcher, and exposes the results in graphs.