Super-resolved 3-D imaging of live cells' organelles from bright-field photon transmission micrographs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F17%3A43895328" target="_blank" >RIV/60076658:12310/17:43895328 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60076658:12520/17:43895328

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0304399117301183" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0304399117301183</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ultramic.2017.03.018" target="_blank" >10.1016/j.ultramic.2017.03.018</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Super-resolved 3-D imaging of live cells' organelles from bright-field photon transmission micrographs

Popis výsledku v původním jazyce

Current biological and medical research is aimed at obtaining a detailed spatiotemporal map of a live cell&apos;s interior to describe and predict cell&apos;s physiological state. We present here an algorithm for complete 3-D modelling of cellular structures from a z-stack of images obtained using label-free wide-field bright-field light-transmitted microscopy. The method visualizes 3-D objects with a volume equivalent to the area of a camera pixel multiplied by the z-height. The computation is based on finding pixels of unchanged intensities between two consecutive images of an object spread function. These pixels represent strongly light-diffracting, light-absorbing, or light-emitting objects. To accomplish this, variables derived from Renyi entropy are used to suppress camera noise. Using this algorithm, the detection limit of objects is only limited by the technical specifications of the microscope setup-we achieve the detection of objects of the size of one camera pixel. This method allows us to obtain 3-D reconstructions of cells from bright-field microscopy images that are comparable in quality to those from electron microscopy images.

Název v anglickém jazyce

Super-resolved 3-D imaging of live cells' organelles from bright-field photon transmission micrographs

Popis výsledku anglicky

Current biological and medical research is aimed at obtaining a detailed spatiotemporal map of a live cell&apos;s interior to describe and predict cell&apos;s physiological state. We present here an algorithm for complete 3-D modelling of cellular structures from a z-stack of images obtained using label-free wide-field bright-field light-transmitted microscopy. The method visualizes 3-D objects with a volume equivalent to the area of a camera pixel multiplied by the z-height. The computation is based on finding pixels of unchanged intensities between two consecutive images of an object spread function. These pixels represent strongly light-diffracting, light-absorbing, or light-emitting objects. To accomplish this, variables derived from Renyi entropy are used to suppress camera noise. Using this algorithm, the detection limit of objects is only limited by the technical specifications of the microscope setup-we achieve the detection of objects of the size of one camera pixel. This method allows us to obtain 3-D reconstructions of cells from bright-field microscopy images that are comparable in quality to those from electron microscopy images.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10306 - Optics (including laser optics and quantum optics)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Ultramicroscopy

ISSN

0304-3991

e-ISSN

—

Svazek periodika

179

Číslo periodika v rámci svazku

August 2017

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

14

Strana od-do

1-14

Kód UT WoS článku

000403985600001

EID výsledku v databázi Scopus

2-s2.0-85016764497