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Martin Ovesný

dblp:150/0122 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational photography and imaging · 75% Image and video processing · 25%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
image reconstruction
0.212016
SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy · Bioinform. 2016
Computational photography and imaging › microscopy imaging › computational microscopy
microscopy image reconstruction
0.212016
SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy · Bioinform. 2016
Computational photography and imaging › microscopy imaging › computational microscopy
structured illumination microscopy
0.212016
SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy · Bioinform. 2016
Computational photography and imaging › microscopy imaging
super-resolution microscopy
0.212016
SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

optical sectioning · 0.2maximum a posteriori estimation · 0.2monte carlo simulation · 0.2
YearPublicationVenuePosition
2016 SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy
abstract
UNLABELLED: SIMToolbox is an open-source, modular set of functions for MATLAB equipped with a user-friendly graphical interface and designed for processing two-dimensional and three-dimensional data acquired by structured illumination microscopy (SIM). Both optical sectioning and super-resolution applications are supported. The software is also capable of maximum a posteriori probability image estimation (MAP-SIM), an alternative method for reconstruction of structured illumination images. MAP-SIM can potentially reduce reconstruction artifacts, which commonly occur due to refractive index mismatch within the sample and to imperfections in the illumination. AVAILABILITY AND IMPLEMENTATION: SIMToolbox, example data and the online documentation are freely accessible at http://mmtg.fel.cvut.cz/SIMToolbox. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Pavel Krízek, Tomás Lukes, Martin Ovesný, Karel Fliegel, Guy M. Hagen
Bioinform.3
2014 ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging
abstract
UNLABELLED: ThunderSTORM is an open-source, interactive and modular plug-in for ImageJ designed for automated processing, analysis and visualization of data acquired by single-molecule localization microscopy methods such as photo-activated localization microscopy and stochastic optical reconstruction microscopy. ThunderSTORM offers an extensive collection of processing and post-processing methods so that users can easily adapt the process of analysis to their data. ThunderSTORM also offers a set of tools for creation of simulated data and quantitative performance evaluation of localization algorithms using Monte Carlo simulations. AVAILABILITY AND IMPLEMENTATION: ThunderSTORM and the online documentation are both freely accessible at https://code.google.com/p/thunder-storm/.
Martin Ovesný, Pavel Krízek, Josef Borkovec, Zdenek Svindrych, Guy M. Hagen
Bioinform.1