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Sequential processing of quantitative phase images for the study of cell behaviour in real-time digital holographic microscopy

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F14%3APU110749" target="_blank" >RIV/00216305:26620/14:PU110749 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1111/jmi.12165" target="_blank" >http://dx.doi.org/10.1111/jmi.12165</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/jmi.12165" target="_blank" >10.1111/jmi.12165</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sequential processing of quantitative phase images for the study of cell behaviour in real-time digital holographic microscopy

  • Original language description

    Transmitted light holographic microscopy is particularly used for quantitative phase imaging of transparent microscopic objects such as living cells. The study of the cell is based on extraction of the dynamic data on cell behaviour from the time-lapse sequence of the phase images. However, the phase images are affected by the phase aberrations that make the analysis particularly difficult. This is because the phase deformation is prone to change during long-term experiments. Here, we present a novel algorithm for sequential processing of living cells phase images in a time-lapse sequence. The algorithm compensates for the deformation of a phase image using weighted least-squares surface fitting. Moreover, it identifies and segments the individual cells in the phase image.All these procedures are performed automatically and applied immediately after obtaining every single phase image. This property of the algorithm is important for real-time cell quantitative phase imaging and instantaneous control of the course of the experiment by playback of the recorded sequence up to actual time. Such operators intervention is a forerunner of process automation derived from image analysis. The efficiency of the propounded algorithm is demonstrated on images of rat fibrosarcoma cells using an off-axis holographic microscope.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10610 - Biophysics

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Microscopy

  • ISSN

    0022-2720

  • e-ISSN

    1365-2818

  • Volume of the periodical

    256

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    117-125

  • UT code for WoS article

    000343807300006

  • EID of the result in the Scopus database

    2-s2.0-84926632219