Nuclear shape software - Історія редагувань

Agn в 12:20, 16 липня 2014

2014-07-16T12:20:17Z

Agn в 11:26, 16 липня 2014

2014-07-16T11:26:02Z

Agn в 10:01, 15 травня 2014

2014-05-15T10:01:26Z

Agn: Created page with " A technique allowing to estimate nuclear shape asymmetry in digital images captured from histological preparations Implemented in a software packag..."

2014-05-15T10:00:59Z

Created page with " <charinsert> A technique allowing to estimate nuclear shape asymmetry in digital images captured from histological preparations <charinsert> Implemented in a software packag..."

Нова сторінка

<charinsert> A technique allowing to estimate nuclear shape asymmetry in digital images captured from histological preparations <charinsert>

Implemented in a software package this technique quantifies asymmetry using two scenarios. Within the first one, nuclear pixels laying outside the largest inscribed circle are identified. According to the second scenario, the algorithm searches for nuclear pixels lacking pixel-partners symmetric with respect to the nuclear area’s centroid. In both cases the proportion of ‘asymmetric’ pixels is used to estimate the feature of interest. The technique was validated on images of cell nuclei having distinctive shape phenotypes.

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-A technique allowing to estimate nuclear shape asymmetry in digital images captured from histological preparations
+A '''Psymmetry 2.1''' software allows to estimate nuclear shape asymmetry in digital images using two scenarios. Within the first one, nuclear pixels laying outside the largest inscribed circle are identified. According to the second scenario, the algorithm searches for nuclear pixels lacking pixel-partners symmetric with respect to the nuclear area’s centroid. In both cases the proportion of ‘asymmetric’ pixels is used to estimate the feature of interest. The technique was validated on images of cell nuclei having distinctive shape phenotypes.
+'''Download''' [http://biph.kiev.ua/images/2/24/Psymmetry_2.1.zip here]
 Download [http://biph.kiev.ua/images/2/24/Psymmetry_2.1.zip here]

← Попередня версія		Версія за 11:26, 16 липня 2014
Рядок 3:		Рядок 3:

	Implemented in a software package this technique quantifies asymmetry using two scenarios. Within the first one, nuclear pixels laying outside the largest inscribed circle are identified. According to the second scenario, the algorithm searches for nuclear pixels lacking pixel-partners symmetric with respect to the nuclear area’s centroid. In both cases the proportion of ‘asymmetric’ pixels is used to estimate the feature of interest. The technique was validated on images of cell nuclei having distinctive shape phenotypes.		Implemented in a software package this technique quantifies asymmetry using two scenarios. Within the first one, nuclear pixels laying outside the largest inscribed circle are identified. According to the second scenario, the algorithm searches for nuclear pixels lacking pixel-partners symmetric with respect to the nuclear area’s centroid. In both cases the proportion of ‘asymmetric’ pixels is used to estimate the feature of interest. The technique was validated on images of cell nuclei having distinctive shape phenotypes.
		+
		+
		+	Download [http://biph.kiev.ua/images/2/24/Psymmetry_2.1.zip here]

← Попередня версія		Версія за 10:01, 15 травня 2014
Рядок 1:		Рядок 1:

−	~~<charinsert>~~ A technique allowing to estimate nuclear shape asymmetry in digital images captured from histological preparations ~~<charinsert>~~	+	A technique allowing to estimate nuclear shape asymmetry in digital images captured from histological preparations

	Implemented in a software package this technique quantifies asymmetry using two scenarios. Within the first one, nuclear pixels laying outside the largest inscribed circle are identified. According to the second scenario, the algorithm searches for nuclear pixels lacking pixel-partners symmetric with respect to the nuclear area’s centroid. In both cases the proportion of ‘asymmetric’ pixels is used to estimate the feature of interest. The technique was validated on images of cell nuclei having distinctive shape phenotypes.		Implemented in a software package this technique quantifies asymmetry using two scenarios. Within the first one, nuclear pixels laying outside the largest inscribed circle are identified. According to the second scenario, the algorithm searches for nuclear pixels lacking pixel-partners symmetric with respect to the nuclear area’s centroid. In both cases the proportion of ‘asymmetric’ pixels is used to estimate the feature of interest. The technique was validated on images of cell nuclei having distinctive shape phenotypes.