In this paper we explore detection and tracking of astral microtubules, a sub-population of microtubules which only exists during and immediately before mitosis and aids in the spindle orientation by connecting it to the cell cortex. Its analysis can be useful to determine the presence of certain diseases, such as brain pathologies and cancer. The proposed algorithm focuses on overcoming the problems regarding fluorescence microscopy images and microtubule behaviour by using various image processing techniques and is then compared with three existing algorithms, tested on consistent sets of images.

DETECTION AND TRACKING OF ASTRAL MICROTUBULES IN FLUORESCENCE MICROSCOPY IMAGES / Joshua, Levine; Grangetto, Marco; Varrecchia, Marilena; Olmo, Gabriella. - ELETTRONICO. - (2018), pp. 361-365. (Intervento presentato al convegno IEEE International Conference on Image Processing tenutosi a Athens nel October 2018) [10.1109/ICIP.2018.8451383].

DETECTION AND TRACKING OF ASTRAL MICROTUBULES IN FLUORESCENCE MICROSCOPY IMAGES

Marco Grangetto;VARRECCHIA, MARILENA;Gabriella Olmo
2018

Abstract

In this paper we explore detection and tracking of astral microtubules, a sub-population of microtubules which only exists during and immediately before mitosis and aids in the spindle orientation by connecting it to the cell cortex. Its analysis can be useful to determine the presence of certain diseases, such as brain pathologies and cancer. The proposed algorithm focuses on overcoming the problems regarding fluorescence microscopy images and microtubule behaviour by using various image processing techniques and is then compared with three existing algorithms, tested on consistent sets of images.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2706722
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