ParticleRecognition, a Mathematica GUI interface for analysis of complex shaped nanoparticles in micrographs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F17%3A00308054" target="_blank" >RIV/68407700:21340/17:00308054 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61988987:17110/17:A20020WZ

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0010465516303137" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0010465516303137</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cpc.2016.10.007" target="_blank" >10.1016/j.cpc.2016.10.007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ParticleRecognition, a Mathematica GUI interface for analysis of complex shaped nanoparticles in micrographs

Popis výsledku v původním jazyce

A Mathematica application providing the user with a graphical interface (GUI) is presented and published, which can be used to interactively explore image filtering and segmentation methods to analyse variously shaped particles in a microscopic image. The application functionality is designed around Mathematica’s in-built image processing capability with custom designed functions specialized at segmenting greyscale microscope images. The main contribution is a specially designed GUI which allows the characterization of segmented particles based on their morphological properties, with focus given to differentiation of the shapes of the segmented particles. The application provides a convenient way of navigating through the myriad of ways to analyse particles in micrographs.

Název v anglickém jazyce

ParticleRecognition, a Mathematica GUI interface for analysis of complex shaped nanoparticles in micrographs

Popis výsledku anglicky

A Mathematica application providing the user with a graphical interface (GUI) is presented and published, which can be used to interactively explore image filtering and segmentation methods to analyse variously shaped particles in a microscopic image. The application functionality is designed around Mathematica’s in-built image processing capability with custom designed functions specialized at segmenting greyscale microscope images. The main contribution is a specially designed GUI which allows the characterization of segmented particles based on their morphological properties, with focus given to differentiation of the shapes of the segmented particles. The application provides a convenient way of navigating through the myriad of ways to analyse particles in micrographs.

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

<a href="/cs/project/GA13-20110S" target="_blank" >GA13-20110S: Nové substráty a přístupy pro citlivý a reprodukovatelný biomolekulární senzing pomocí spektroskopie povrchem zesíleného Ramanova rozptylu (SERS)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Computer Physics Communications

ISSN

0010-4655

e-ISSN

1879-2944

Svazek periodika

214

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

7

Strana od-do

98-104

Kód UT WoS článku

000397358400011

EID výsledku v databázi Scopus

2-s2.0-85006288733