Automated classification of cell morphology by coherence-controlled holographic microscopy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F17%3APU124309" target="_blank" >RIV/00216305:26620/17:PU124309 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1117/1.JBO.22.8.086008" target="_blank" >http://dx.doi.org/10.1117/1.JBO.22.8.086008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/1.JBO.22.8.086008" target="_blank" >10.1117/1.JBO.22.8.086008</a>

Result language

angličtina

Original language name

Automated classification of cell morphology by coherence-controlled holographic microscopy

Original language description

In the last few years, classification of cells by machine learning has become frequently used in biology. However, most of the approaches are based on morphometric (MO) features, which are not quantitative in terms of cell mass. This may result in poor classification accuracy. Here, we study the potential contribution of coherence-controlled holographic microscopy enabling quantitative phase imaging for the classification of cell morphologies. We compare our approach with the commonly used method based on MO features. We tested both classification approaches in an experiment with nutritionally deprived cancer tissue cells, while employing several supervised machine learning algorithms. Most of the classifiers provided higher performance when quantitative phase features were employed. Based on the results, it can be concluded that the quantitative phase features played an important role in improving the performance of the classification. The methodology could be valuable help in refining the monitoring of live cells in an automated fashion. We believe that coherencecontrolled holographic microscopy, as a tool for quantitative phase imaging, offers all preconditions for the accurate automated analysis of live cell behavior while enabling noninvasive label-free imaging with sufficient contrast and high-spatiotemporal phase sensitivity.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10306 - Optics (including laser optics and quantum optics)

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)

Publication year

2017

Confidentiality

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

Name of the periodical

JOURNAL OF BIOMEDICAL OPTICS

ISSN

1083-3668

e-ISSN

1560-2281

Volume of the periodical

22

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

„ 086008-1“-„ 086008-9“

UT code for WoS article

000410739500014

EID of the result in the Scopus database

2-s2.0-85028556442