Literature DB >> 11240857

Segmentation of nuclei and cells using membrane related protein markers.

C O De Solorzano1, R Malladi, S A Lelièvre, S J Lockett.   

Abstract

Segmenting individual cell nuclei from microscope images normally involves volume labelling of the nuclei with a DNA stain. However, this method often fails when the nuclei are tightly clustered in the tissue, because there is little evidence from the images on where the borders of the nuclei are. In this paper we present a method which solves this limitation and furthermore enables segmentation of whole cells. Instead of using volume stains, we used stains that specifically label the surface of nuclei or cells: lamins for the nuclear envelope and alpha-6 or beta-1 integrins for the cellular surface. The segmentation is performed by identifying unique seeds for each nucleus/cell and expanding the boundaries of the seeds until they reach the limits of the nucleus/cell, as delimited by the lamin or integrin staining, using gradient-curvature flow techniques. We tested the algorithm using computer-generated objects to evaluate its robustness against noise and applied it to cells in culture and to tissue specimens. In all the cases that we present the algorithm gave accurate results.

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Year:  2001        PMID: 11240857     DOI: 10.1046/j.1365-2818.2001.00854.x

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  31 in total

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Review 3.  Quantitative three-dimensional microscopy approaches with applications in breast cancer biology including measurement of genomic instability.

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Journal:  J Mammary Gland Biol Neoplasia       Date:  2004-10       Impact factor: 2.673

4.  An automated method for cell detection in zebrafish.

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5.  Automatic segmentation of high-throughput RNAi fluorescent cellular images.

Authors:  P Yan; X Zhou; M Shah; S T C Wong
Journal:  IEEE Trans Inf Technol Biomed       Date:  2008-01

6.  Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming.

Authors:  D P McCullough; P R Gudla; B S Harris; J A Collins; K J Meaburn; M A Nakaya; T P Yamaguchi; T Misteli; S J Lockett
Journal:  IEEE Trans Med Imaging       Date:  2008-05       Impact factor: 10.048

7.  Constraint factor graph cut-based active contour method for automated cellular image segmentation in RNAi screening.

Authors:  C Chen; H Li; X Zhou; S T C Wong
Journal:  J Microsc       Date:  2008-05       Impact factor: 1.758

8.  Tracking epithelial cell junctions in C. elegans embryogenesis with active contours guided by SIFT flow.

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Journal:  IEEE Trans Biomed Eng       Date:  2014-04-22       Impact factor: 4.538

9.  An improved approach for the segmentation of starch granules in microscopic images.

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Journal:  BMC Genomics       Date:  2010-11-02       Impact factor: 3.969

10.  A CURVICYLINDRICAL COORDINATE SYSTEM FOR THE VISUALIZATION AND SEGMENTATION OF THE ASCIDIAN TAIL.

Authors:  Golnaz Abdollahian; Michael Veeman; William Smith; B S Manjunath
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2011
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