Optimized cutting laser trajectory for laser capture microdissection
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11140%2F19%3A10394240" target="_blank" >RIV/00216208:11140/19:10394240 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11110/19:10394240
Výsledek na webu
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=VsA3k-lJSw" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=VsA3k-lJSw</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/s11756-019-00234-x" target="_blank" >10.2478/s11756-019-00234-x</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimized cutting laser trajectory for laser capture microdissection
Popis výsledku v původním jazyce
Laser capture microdissection (LCM) is an excellent tool using a laser beam for specific selection and harvesting of cells or cell populations from heterogeneous tissue sections prepared on special slides. The aim of our study was to apply mathematical methods for optimizing the planning of laser trajectory in LCM combining positive and negative selection criteria with adjustable size, weight, importance, and security borders. We developed and tested software tool named CutPlanner to be used in a transparent overlay superimposed to the live camera image independently from the manufacturer of the LCM device. Once optimized, quantified and approved by the user, the resulting outline of the region of interest is directly copied to the laser beam cutting trajectory. The software is made publicly available for non-commercial use to the scientific community and provides a versatile tool for effectively minimizing the length of the laser trajectory to obtain the selected cells without destroying surrounding cells and tissue structures. Saving all the settings allows for performing repeating tasks under similar conditions, especially in uniform and routinely performed LCM applications.
Název v anglickém jazyce
Optimized cutting laser trajectory for laser capture microdissection
Popis výsledku anglicky
Laser capture microdissection (LCM) is an excellent tool using a laser beam for specific selection and harvesting of cells or cell populations from heterogeneous tissue sections prepared on special slides. The aim of our study was to apply mathematical methods for optimizing the planning of laser trajectory in LCM combining positive and negative selection criteria with adjustable size, weight, importance, and security borders. We developed and tested software tool named CutPlanner to be used in a transparent overlay superimposed to the live camera image independently from the manufacturer of the LCM device. Once optimized, quantified and approved by the user, the resulting outline of the region of interest is directly copied to the laser beam cutting trajectory. The software is made publicly available for non-commercial use to the scientific community and provides a versatile tool for effectively minimizing the length of the laser trajectory to obtain the selected cells without destroying surrounding cells and tissue structures. Saving all the settings allows for performing repeating tasks under similar conditions, especially in uniform and routinely performed LCM applications.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10600 - Biological sciences
Návaznosti výsledku
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)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Biologia
ISSN
0006-3088
e-ISSN
—
Svazek periodika
74
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
8
Strana od-do
717-724
Kód UT WoS článku
000467648500015
EID výsledku v databázi Scopus
2-s2.0-85065705281