PloidyQuantX: A quantitative microscopy imaging tool for ploidy quantification at cell and organ level in arabidopsis root

Xavier Sevillano, Marc Ferrer, Mary Paz González-García, Irina Pavelescu, Ana I. Caño-Delgado

Research output: Book chapterConference contributionpeer-review

Abstract

Mapping centromere distribution in complete organs is a key step towards establishing how this couples to organ development and cell functions. In this context, quantitative microscopy tools play a key role, as they allow a precise measurement of centromere presence at both individual cell and whole organ levels. This work introduces PloidyQuantX, an imaging tool that operates on confocal microscopy image stacks. Tested on imagery obtained from wholemount centromere Q-FISH of the Arabidopsis thaliana primary root, Ploidy- QuantX incorporates interactive segmentation and image analysis modules that allow quantifying the number of centromeres present in each cell nucleus, thus creating maps of centromere distribution in cells across the whole organ. Moreover, the presented tool also allows rendering three-dimensional models of each individual root cell, which makes it possible to relate their internal topology to specific cell functions.

Original languageEnglish
Title of host publicationBioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings
EditorsFrancisco Ortuño, Ignacio Rojas
PublisherSpringer Verlag
Pages210-215
Number of pages6
ISBN (Print)9783319164823
DOIs
Publication statusPublished - 2015
Event3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 - Granada, Spain
Duration: 15 Apr 201517 Apr 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9043
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015
Country/TerritorySpain
CityGranada
Period15/04/1517/04/15

Keywords

  • Biomedical imaging
  • Centromere quantification
  • Image processing
  • Quantitative microscopy

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