Literature DB >> 31762388

Versatile method for quantifying and analyzing morphological differences in experimentally obtained images.

Kristine S Bagdassarian1, Katherine A Connor1, Ian H Jermyn2, J Peter Etchells1.   

Abstract

Analyzing high-resolution images to gain insight into anatomical properties is an essential tool for investigation in many scientific fields. In plant biology, studying plant phenotypes from micrographs is often used to build hypotheses on gene function. In this report, we discuss a bespoke method for inspecting the significance in the differences between the morphologies of several plant mutants at cellular level. By examining a specific example in the literature, we will detail the approach previously used to quantify the effects of two gene families on the vascular development of hypocotyls in Arabidopsis thaliana. The method incorporates a MATLAB algorithm and statistical tools which can be modified and enhanced to tailor to different research questions in future studies.

Entities:  

Keywords:  Image analysis; method; morphology; parenchyma; phloem; xylem

Year:  2019        PMID: 31762388      PMCID: PMC7012139          DOI: 10.1080/15592324.2019.1693092

Source DB:  PubMed          Journal:  Plant Signal Behav        ISSN: 1559-2316


  11 in total

1.  Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue.

Authors:  Ning Wang; Kristine S Bagdassarian; Rebecca E Doherty; Johannes T Kroon; Katherine A Connor; Xiao Y Wang; Wei Wang; Ian H Jermyn; Simon R Turner; J Peter Etchells
Journal:  Development       Date:  2019-05-17       Impact factor: 6.868

2.  A computational image analysis glossary for biologists.

Authors:  Adrienne H K Roeder; Alexandre Cunha; Michael C Burl; Elliot M Meyerowitz
Journal:  Development       Date:  2012-09       Impact factor: 6.868

Review 3.  Novel tools for quantifying secondary growth.

Authors:  Anna Wunderling; Mehdi Ben Targem; Pierre Barbier de Reuille; Laura Ragni
Journal:  J Exp Bot       Date:  2016-12-12       Impact factor: 6.992

4.  Synergistic interaction of three ERECTA-family receptor-like kinases controls Arabidopsis organ growth and flower development by promoting cell proliferation.

Authors:  Elena D Shpak; Chris T Berthiaume; Emi J Hill; Keiko U Torii
Journal:  Development       Date:  2004-02-25       Impact factor: 6.868

5.  RootAnalyzer: A Cross-Section Image Analysis Tool for Automated Characterization of Root Cells and Tissues.

Authors:  Joshua Chopin; Hamid Laga; Chun Yuan Huang; Sigrid Heuer; Stanley J Miklavcic
Journal:  PLoS One       Date:  2015-09-23       Impact factor: 3.240

6.  MorphoGraphX: A platform for quantifying morphogenesis in 4D.

Authors:  Pierre Barbier de Reuille; Anne-Lise Routier-Kierzkowska; Daniel Kierzkowski; George W Bassel; Thierry Schüpbach; Gerardo Tauriello; Namrata Bajpai; Sören Strauss; Alain Weber; Annamaria Kiss; Agata Burian; Hugo Hofhuis; Aleksandra Sapala; Marcin Lipowczan; Maria B Heimlicher; Sarah Robinson; Emmanuelle M Bayer; Konrad Basler; Petros Koumoutsakos; Adrienne H K Roeder; Tinri Aegerter-Wilmsen; Naomi Nakayama; Miltos Tsiantis; Angela Hay; Dorota Kwiatkowska; Ioannis Xenarios; Cris Kuhlemeier; Richard S Smith
Journal:  Elife       Date:  2015-05-06       Impact factor: 8.140

7.  PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification.

Authors:  Marc Lartaud; Christophe Perin; Brigitte Courtois; Emilie Thomas; Sophia Henry; Mathilde Bettembourg; Fanchon Divol; Nadege Lanau; Florence Artus; Charlotte Bureau; Jean-Luc Verdeil; Gautier Sarah; Emmanuel Guiderdoni; Anne Dievart
Journal:  Front Plant Sci       Date:  2015-01-19       Impact factor: 5.753

8.  Precision Automation of Cell Type Classification and Sub-Cellular Fluorescence Quantification from Laser Scanning Confocal Images.

Authors:  Hardy C Hall; Azadeh Fakhrzadeh; Cris L Luengo Hendriks; Urs Fischer
Journal:  Front Plant Sci       Date:  2016-02-09       Impact factor: 5.753

9.  PlantCV v2: Image analysis software for high-throughput plant phenotyping.

Authors:  Malia A Gehan; Noah Fahlgren; Arash Abbasi; Jeffrey C Berry; Steven T Callen; Leonardo Chavez; Andrew N Doust; Max J Feldman; Kerrigan B Gilbert; John G Hodge; J Steen Hoyer; Andy Lin; Suxing Liu; César Lizárraga; Argelia Lorence; Michael Miller; Eric Platon; Monica Tessman; Tony Sax
Journal:  PeerJ       Date:  2017-12-01       Impact factor: 2.984

10.  Automated quantitative histology reveals vascular morphodynamics during Arabidopsis hypocotyl secondary growth.

Authors:  Martial Sankar; Kaisa Nieminen; Laura Ragni; Ioannis Xenarios; Christian S Hardtke
Journal:  Elife       Date:  2014-02-11       Impact factor: 8.140

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.