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Segmentation of Individual Cells in Phase Contrast Microscopy Images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00435026" target="_blank" >RIV/67985556:_____/14:00435026 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Segmentation of Individual Cells in Phase Contrast Microscopy Images

  • Original language description

    Phase contrast microscopy is widely used for live cell imaging. Automatic computer processing of phase-contrast images is complicated, particularly because of the halos that are present around the cells. We introduce a new algorithm able to segment individual cells by using the halos. The halos between cells are detected by thresholding and skeletonization, and gaps in the edges are filled in using Dijkstra?s algorithm. The result of the algorithm was compared with the results of manual segmentation performed by a human expert and evaluated on level of precision of individual cells? edges. The source code and test data, including the manual segmentation are made available to the public.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-29225S" target="_blank" >GA13-29225S: Image Blind Deconvolution in Demanding Conditions</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 18th Conference on Medical Image Understanding and Analysis

  • ISBN

    1-901725-51-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    185-190

  • Publisher name

    City University London

  • Place of publication

    London

  • Event location

    London

  • Event date

    Jul 9, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article