Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method

Taboada, Bruna Rafaela Pereira; Monteiro, Fernando C.; Lima, Rui A.

Publication

Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method

2015Book part

dc.contributor.author	Taboada, Bruna Rafaela Pereira
dc.contributor.author	Monteiro, Fernando C.
dc.contributor.author	Lima, Rui A.
dc.date.accessioned	2018-04-06T10:28:54Z
dc.date.available	2018-04-06T10:28:54Z
dc.date.issued	2015
dc.description.abstract	The present chapter aims to assess the motion and deformation index of red blood cells (RBCs) flowing through a microchannel with a hyperbolic contraction using an image analysis based method. For this purpose, a microchannel containing a hyperbolic contraction was fabricated in polydimethylsiloxane by using a soft-lithography technique and the images were captured by a standard high-speed microscopy system. An automatic image processing and analyzing method has been developed in a MATLAB environment, not only to track both healthy and exposed RBCs motion but also to measure the deformation index along the microchannel. The keyhole model has proved to be a promising technique to track automatically healthy and exposed RBCs flowing in this kind of microchannels.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	Taboada, B.; Monteiro, Fernando C.; Lima, R. (2015). Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method. In Developments in Medical Image Processing and Computational Vision. Heidelberg: Springer, p. 105-119. ISBN 978-3-319-13406-2	pt_PT
dc.identifier.doi	10.1007/978-3-319-13407-9_7	pt_PT
dc.identifier.isbn	978-3-319-13406-2
dc.identifier.uri	http://hdl.handle.net/10198/16721
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	Springer Verlag	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Optical flow	pt_PT
dc.subject	Bilateral filter	pt_PT
dc.subject	Atomic regions	pt_PT
dc.subject	Motion segmentation	pt_PT
dc.subject	Deformation index	pt_PT
dc.title	Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method	pt_PT
dc.type	book part
dspace.entity.type	Publication
oaire.citation.endPage	119	pt_PT
oaire.citation.startPage	105	pt_PT
oaire.citation.title	Lecture Notes in Computational Vision and Biomechanics	pt_PT
oaire.citation.volume	19	pt_PT
person.familyName	Monteiro
person.familyName	Lima
person.givenName	Fernando C.
person.givenName	Rui A.
person.identifier.ciencia-id	2019-BDBF-10E2
person.identifier.ciencia-id	EE12-C3FB-349D
person.identifier.orcid	0000-0002-1421-8006
person.identifier.orcid	0000-0003-3428-637X
person.identifier.rid	H-9213-2016
person.identifier.rid	H-5157-2016
person.identifier.scopus-author-id	8986162600
person.identifier.scopus-author-id	18437397800
rcaap.rights	restrictedAccess	pt_PT
rcaap.type	bookPart	pt_PT
relation.isAuthorOfPublication	363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication	7b50c499-8095-4f4f-8b1b-fa7388e4ff62
relation.isAuthorOfPublication.latestForDiscovery	363b6c37-282c-4cd6-bb54-3c97cc700d78