Object detection and statistical analysis of microscopy image sequences

Hurovitz, Sasha Ivan; Chan, Debora; Ramele, Rodrigo; Gambini, Juliana

artículo de publicación periódica.page.titleprefix
Object detection and statistical analysis of microscopy image sequences

dc.contributor.author	Hurovitz, Sasha Ivan
dc.contributor.author	Chan, Debora
dc.contributor.author	Ramele, Rodrigo
dc.contributor.author	Gambini, Juliana
dc.date.accessioned	2022-11-04T18:47:09Z
dc.date.available	2022-11-04T18:47:09Z
dc.date.issued	2022
dc.description.abstract	"Confocal microscope images are wide useful in medical diagnosis and research. The automatic interpretation of this type of images is very important but it is a challenging endeavor in image processing area, since these images are heavily contaminated with noise, have low contrast and low resolution. This work deals with the problem of analyzing the penetration velocity of a chemotherapy drug in an ocular tumor called retinoblastoma. The primary retinoblastoma cells cultures are exposed to topotecan drug and the penetration evolution is documented by producing sequences of microscopy images. It is possible to quantify the penetration rate of topotecan drug because it produces fluorescence emission by laser excitation which is captured by the camera. In order to estimate the topotecan penetration time in the whole retinoblastoma cell culture, a procedure based on an active contour detection algorithm, a neural network classifier and a statistical model and its validation, is proposed. This new inference model allows to estimate the penetration time. Results show that the penetration mean time strongly depends on tumorsphere size and on chemotherapeutic treatment that the patient has previously received."
dc.identifier.issn	1577-5097
dc.identifier.uri	https://ri.itba.edu.ar/handle/123456789/3967
dc.language.iso	en
dc.relation	info:eu-repo/semantics/altIdentifier/doi/10.5565/rev/elcvia.1482
dc.rights	http://creativecommons.org/licenses/by-nc-sa/X.0/
dc.subject	SEGMENTACION DE IMAGENES	es
dc.subject	RETINOBLASTOMA	es
dc.subject	APRENDIZAJE AUTOMATICO	es
dc.title	Object detection and statistical analysis of microscopy image sequences
dc.type	Artículos de Publicaciones Periódicas	es
dc.type	info:eu-repo/semantics/publishedVersion
dspace.entity.type	Artículo de Publicación Periódica
itba.description.filiation	Fil: Hurovitz, Sasha Ivan. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Chan, Debora. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina.
itba.description.filiation	Fil: Ramele, Rodrigo. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Gambini, Juliana. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Gambini, Juliana. Universidad Nacional de Tres de Febrero; Argentina.