Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00100647" target="_blank" >RIV/00216224:14330/17:00100647 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICPR.2016.7899655" target="_blank" >http://dx.doi.org/10.1109/ICPR.2016.7899655</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICPR.2016.7899655" target="_blank" >10.1109/ICPR.2016.7899655</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints

Popis výsledku v původním jazyce

The existence of reliable evaluation datasets for cell image registration algorithms is crucial for quantitative comparison of registration approaches. A new technique for creating real live cell image sequences for this purpose was introduced recently. These datasets contain stable structures bleached by argon laser in the cell nucleus. In this work, we propose an approach for automatic detection of laser-induced linear structures in live cell fluorescent microscopy images. Compared to a previous linear laser-induced structure detection approach, our method employs an active contours model with a Hessian-based image energy term for linear structures enhancement and geometric energy term controlling the geometric relations between the structures. It uses position adaptive tension parameter values to adjust the snakes behavior in problematic regions (end points and intersection points) and a temporal consistent scheme where the results from the previous frame are used as an initial approximation for the current frame. Our approach was successfully applied to real live cell microscopy image sequences and an experimental comparison with an existing laser-induced structures detection method based on minimal paths has been performed.

Název v anglickém jazyce

Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints

Popis výsledku anglicky

The existence of reliable evaluation datasets for cell image registration algorithms is crucial for quantitative comparison of registration approaches. A new technique for creating real live cell image sequences for this purpose was introduced recently. These datasets contain stable structures bleached by argon laser in the cell nucleus. In this work, we propose an approach for automatic detection of laser-induced linear structures in live cell fluorescent microscopy images. Compared to a previous linear laser-induced structure detection approach, our method employs an active contours model with a Hessian-based image energy term for linear structures enhancement and geometric energy term controlling the geometric relations between the structures. It uses position adaptive tension parameter values to adjust the snakes behavior in problematic regions (end points and intersection points) and a temporal consistent scheme where the results from the previous frame are used as an initial approximation for the current frame. Our approach was successfully applied to real live cell microscopy image sequences and an experimental comparison with an existing laser-induced structures detection method based on minimal paths has been performed.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

23rd International Conference on Pattern Recognition, ICPR 2016

ISBN

9781509048472

ISSN

1051-4651

e-ISSN

—

Počet stran výsledku

6

Strana od-do

331-336

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Cancun, Mexico

Místo konání akce

Cancun, Mexico

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000406771300058