All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/60076658:12520/17:43895328

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • 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

    10306 - Optics (including laser optics and quantum optics)

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

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Ultramicroscopy

  • ISSN

    0304-3991

  • e-ISSN

  • Volume of the periodical

    179

  • Issue of the periodical within the volume

    August 2017

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    000403985600001

  • EID of the result in the Scopus database

    2-s2.0-85016764497