Biomat

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F19%3A00522714" target="_blank" >RIV/67985823:_____/19:00522714 - isvavai.cz</a>

Výsledek na webu

<a href="https://imagej.net/Biomat" target="_blank" >https://imagej.net/Biomat</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Biomat

Popis výsledku v původním jazyce

Biomat is collection of ImageJ plugins distributed in FiJi.n1) Plugins for 3D image preprocessing.nStack Linear Contrast - multiplies images in stack by coefficient obtained by linear interpolation of the “first” and “last” coefficient. A simple tool for compensation of contrast decreasing with depth within thick sample.nLipschitz 3D Filter - top hat - subtracts slowly varying background calculated as lower Lipschitz envelope from the image.n2) Plugins for detection of fibres in 3D image.nTensor Line 3D Filter - enhances white fibers of uniform width sparsely distributed on dark background.nVector Line 3D Filter - enhances white fibers of varying thickness. Crossection of the fibers need not be circular.n3) Plugins for evaluation of 2D images using heat equation.n2D Tensor Color Coding - standard color coding of 2D tensor image. Symmetric tensor is coded as channels of 32 bit image stacks.n2D Heat Kernel Tensor - second order moments of heat kernel calculated from 8 bit binary image by Crank-Nicolson method.n2D Tensor Statistics - summary of tensor image (in ROI). “Value” is average trace of the tensor, “shape” is the ratio of its eigenvalues and “angle” of the first eigenvector is measured counterclockwise from the horizontal axis.n

Název v anglickém jazyce

Biomat

Popis výsledku anglicky

Biomat is collection of ImageJ plugins distributed in FiJi.n1) Plugins for 3D image preprocessing.nStack Linear Contrast - multiplies images in stack by coefficient obtained by linear interpolation of the “first” and “last” coefficient. A simple tool for compensation of contrast decreasing with depth within thick sample.nLipschitz 3D Filter - top hat - subtracts slowly varying background calculated as lower Lipschitz envelope from the image.n2) Plugins for detection of fibres in 3D image.nTensor Line 3D Filter - enhances white fibers of uniform width sparsely distributed on dark background.nVector Line 3D Filter - enhances white fibers of varying thickness. Crossection of the fibers need not be circular.n3) Plugins for evaluation of 2D images using heat equation.n2D Tensor Color Coding - standard color coding of 2D tensor image. Symmetric tensor is coded as channels of 32 bit image stacks.n2D Heat Kernel Tensor - second order moments of heat kernel calculated from 8 bit binary image by Crank-Nicolson method.n2D Tensor Statistics - summary of tensor image (in ROI). “Value” is average trace of the tensor, “shape” is the ratio of its eigenvalues and “angle” of the first eigenvector is measured counterclockwise from the horizontal axis.n

Druh

R - Software

CEP obor

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OECD FORD obor

30106 - Anatomy and morphology (plant science to be 1.6)

Projekt

<a href="/cs/project/LTC17023" target="_blank" >LTC17023: Analýza obrazu biologických mikroskopických dat pro měření geometrických charakteristik a strukturních parametrů</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

BM_2020_1.0.1

Technické parametry

Pluginy v Biomat jsou nástroje pro detekci a analýzu kapilárního řečiště a převodního systému v srdci

Ekonomické parametry

Jedná se o volně dostupný software

IČO vlastníka výsledku

67985823

Název vlastníka

Fyziologický ústav AV ČR, v. v. i.