Literature DB >> 23648942

A novel tracking tool for the analysis of plant-root tip movements.

A Russino1, A Ascrizzi, L Popova, A Tonazzini, S Mancuso, B Mazzolai.   

Abstract

The growth process of roots consists of many activities, such as exploring the soil volume, mining minerals, avoiding obstacles and taking up water to fulfil the plant's primary functions, that are performed differently, depending on environmental conditions. Root movements are strictly related to a root decision strategy, which helps plants to survive under stressful conditions by optimizing energy consumption. In this work, we present a novel image-analysis tool to study the kinematics of the root tip (apex), named analyser for root tip tracks (ARTT). The software implementation combines a segmentation algorithm with additional software imaging filters in order to realize a 2D tip detection. The resulting paths, or tracks, arise from the sampled tip positions through the acquired images during the growth. ARTT allows work with no markers and deals autonomously with new emerging root tips, as well as handling a massive number of data relying on minimum user interaction. Consequently, ARTT can be used for a wide range of applications and for the study of kinematics in different plant species. In particular, the study of the root growth and behaviour could lead to the definition of novel principles for the penetration and/or control paradigms for soil exploration and monitoring tasks. The software capabilities were demonstrated by experimental trials performed with Zea mays and Oryza sativa.

Entities:  

Mesh:

Year:  2013        PMID: 23648942     DOI: 10.1088/1748-3182/8/2/025004

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  4 in total

1.  RTIP: A FULLY AUTOMATED ROOT TIP TRACKER FOR MEASURING PLANT GROWTH WITH INTERMITTENT PERTURBATIONS.

Authors:  Deniz Kavzak Ufuktepe; Kannappan Palaniappan; Melissa Elmali; Tobias I Baskin
Journal:  Proc Int Conf Image Proc       Date:  2020-09-30

2.  Impairment in karrikin but not strigolactone sensing enhances root skewing in Arabidopsis thaliana.

Authors:  Stéphanie M Swarbreck; Yannick Guerringue; Elsa Matthus; Fiona J C Jamieson; Julia M Davies
Journal:  Plant J       Date:  2019-03-11       Impact factor: 6.417

Review 3.  The Bio-Engineering Approach for Plant Investigations and Growing Robots. A Mini-Review.

Authors:  Barbara Mazzolai; Francesca Tramacere; Isabella Fiorello; Laura Margheri
Journal:  Front Robot AI       Date:  2020-09-24

4.  Recent advances in methods for in situ root phenotyping.

Authors:  Anchang Li; Lingxiao Zhu; Wenjun Xu; Liantao Liu; Guifa Teng
Journal:  PeerJ       Date:  2022-07-01       Impact factor: 3.061

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.