Digital Image Analysis of Cells: Applications in 2D, 3D and Time

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001		oai:DiVA.org:uu-9541
003		SwePub
008		090205s2009 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
020		a 9789155473983q print
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-95412 URI
040		a (SwePub)uu
041		a engb eng
042		9 SwePub
072	7	a vet2 swepub-contenttype
072	7	a dok2 swepub-publicationtype
100	1	a Pinidiyaarachchi, Amalka,d 1975-u Uppsala universitet,Centrum för bildanalys4 aut0 (Swepub:uu)ampin924
245	1 0	a Digital Image Analysis of Cells :b Applications in 2D, 3D and Time
264	1	a Uppsala :b Universitetsbiblioteket,c 2009
300		a 57 s.
338		a electronic2 rdacarrier
490	0	a Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology,x 1651-6214 ;v 596
520		a Light microscopes are essential research tools in biology and medicine. Cell and tissue staining methods have improved immensely over the years and microscopes are now equipped with digital image acquisition capabilities. The image data produced require development of specialized analysis methods. This thesis presents digital image analysis methods for cell image data in 2D, 3D and time sequences.Stem cells have the capability to differentiate into speciﬁc cell types. The mechanism behind differentiation can be studied by tracking cells over time. This thesis presents a combined segmentation and tracking algorithm for time sequence images of neural stem cells.The method handles splitting and merging of cells and the results are similar to those achieved by manual tracking.Methods for detecting and localizing signals from ﬂuorescence stained biomolecules are essential when studying how they function and interact. A study of Smad proteins, that serve as transcription factors by forming complexes and enter the cell nucleus, is included in the thesis. Confocal microscopy images of cell nuclei are delineated using gradient information, and Smad complexes are localized using a novel method for 3D signal detection. Thus, the localization of Smad complexes in relation to the nuclear membrane can be analyzed. A detailed comparison between the proposed and previous methods for detection of point-source signals is presented, showing that the proposed method has better resolving power and is more robust to noise.In this thesis, it is also shown how cell conﬂuence can be measured by classiﬁcation of wavelet based texture features. Monitoring cell conﬂuence is valuable for optimization of cell culture parameters and cell harvest. The results obtained agree with visual observations and provide an efﬁcient approach to monitor cell conﬂuence and detect necrosis.Quantitative measurements on cells are important in both cytology and histology. The color provided by Pap (Papanicolaou) staining increases the available image information. The thesis explores different color spaces of Pap smear images from thyroid nodules, with the aim of ﬁnding the representation that maximizes detection of malignancies using color information in addition to quantitative morphological parameters.The presented methods provide useful tools for cell image analysis, but they can of course also be used for other image analysis applications.
650	7	a NATURVETENSKAPx Data- och informationsvetenskapx Datorseende och robotik0 (SwePub)102072 hsv//swe
650	7	a NATURAL SCIENCESx Computer and Information Sciencesx Computer Vision and Robotics0 (SwePub)102072 hsv//eng
653		a Digital image analysis
653		a microscopy
653		a ﬂuorescent staining
653		a watershed segmentation
653		a sub-cellular localization
653		a point-like signals
653		a wavelets
653		a cell conﬂuence
653		a cytology
653		a color spaces.
653		a Image analysis
653		a Bildanalys
700	1	a Wählby, Carolina,c Assistant Professoru Uppsala universitet,Centrum för bildanalys4 ths
700	1	a Bengtsson, Ewert,c Professoru Uppsala universitet,Centrum för bildanalys4 ths
700	1	a Lundervold, Arvid,c Professoru Department of Biomedicine and Molecular Imaging Center , University of Bergen4 opn
710	2	a Uppsala universitetb Centrum för bildanalys4 org
856	4	u https://uu.diva-portal.org/smash/get/diva2:173174/FULLTEXT01.pdfx primaryx Raw objecty fulltext
856	4	u https://uu.diva-portal.org/smash/get/diva2:173174/COVER01.pdfy cover
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9541

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