scholarly journals SmartGrain: High-Throughput Phenotyping Software for Measuring Seed Shape through Image Analysis

2012 ◽  
Vol 160 (4) ◽  
pp. 1871-1880 ◽  
Author(s):  
Takanari Tanabata ◽  
Taeko Shibaya ◽  
Kiyosumi Hori ◽  
Kaworu Ebana ◽  
Masahiro Yano
Keyword(s):  
Image Analysis ◽  
High Throughput ◽  
Seed Shape ◽  
High Throughput Phenotyping

scholarly journals Rhizoslides: paper-based growth system for non-destructive, high throughput phenotyping of root development by means of image analysis

Plant Methods ◽  
2014 ◽  
Vol 10 (1) ◽  
pp. 13 ◽  
Author(s):  
Chantal Le Marié ◽  
Norbert Kirchgessner ◽  
Daniela Marschall ◽  
Achim Walter ◽  
Andreas Hund
Keyword(s):  
Image Analysis ◽  
High Throughput ◽  
Root Development ◽  
Growth System ◽  
High Throughput Phenotyping ◽  
Non Destructive

scholarly journals 227 Leveraging on high-throughput phenotyping technologies to optimize livestock genetic improvement and husbandry

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 55-55
Author(s):  
Guilherme J M Rosa ◽  
João R R Dorea ◽  
Arthur Francisco Araujo Fernandes ◽  
Tiago L Passafaro
Keyword(s):  
Computer Vision ◽  
Image Analysis ◽  
High Throughput ◽  
Feed Intake ◽  
Genetic Improvement ◽  
Milk Composition ◽  
Sensor Technology ◽  
Efficient Data ◽  
High Throughput Phenotyping ◽  
Complex Relationships

Abstract The advent of fully automated data recording technologies and high-throughput phenotyping (HTP) systems has opened up a myriad of opportunities to advance breeding programs and livestock husbandry. Such technologies allow scoring large number of animals for novel phenotypes and indicator traits to boost genetic improvement, as well as for real-time monitoring of animal behavior and development for optimized management decisions. HTP tools include, for example, image analysis and computer vision, sensor technology for motion, sound and chemical composition, and spectroscopy. Applications span from health surveillance, precision nutrition, and control of meat and milk composition and quality. However, the application of HTP requires sophisticated statistical and computational approaches for efficient data management and appropriate data mining, as it involves large datasets with many covariates and complex relationships. In this talk we will discuss some of the challenges and potentials of HTP in livestock. Some examples to be presented include the utilization of automated feeders to record feed intake and to monitor feeding behavior in broilers, milk-spectra information to predict dairy cattle feed intake, and image analysis and computer vision to monitor growth and body condition in pigs and cattle. HTP and big data will become an essential component of modern livestock operations in the context of precision animal agriculture, boosting animal welfare, environmental footprint, and overall sustainability of animal production.

scholarly journals ScreenSeed as a novel high throughput seed germination phenotyping method

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nicolas Merieux ◽  
Pierre Cordier ◽  
Marie-Hélène Wagner ◽  
Sylvie Ducournau ◽  
Sophie Aligon ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Image Analysis ◽  
Seed Germination ◽  
High Throughput ◽  
Automated Image Analysis ◽  
Experimental Protocol ◽  
Visual Scoring ◽  
Radicle Protrusion ◽  
High Throughput Phenotyping ◽  
Fast Procedure

AbstractA high throughput phenotyping tool for seed germination, the ScreenSeed technology, was developed with the aim of screening genotype responsiveness and chemical drugs. This technology was presently used with Arabidopsis thaliana seeds to allow characterizing seed samples germination behavior by incubating seeds in 96-well microplates under defined conditions and detecting radicle protrusion through the seed coat by automated image analysis. This study shows that this technology provides a fast procedure allowing to handle thousands of seeds without compromising repeatability or accuracy of the germination measurements. Potential biases of the experimental protocol were assessed through statistical analyses of germination kinetics. Comparison of the ScreenSeed procedure with commonly used germination tests based upon visual scoring displayed very similar germination kinetics.

scholarly journals High-Throughput Phenotyping of Seed/Seedling Evaluation Using Digital Image Analysis

Agronomy ◽  
2018 ◽  
Vol 8 (5) ◽  
pp. 63 ◽  
Author(s):  
Chongyuan Zhang ◽  
Yongsheng Si ◽  
Jacob Lamkey ◽  
Rick Boydston ◽  
Kimberly Garland-Campbell ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Throughput ◽  
Digital Image ◽  
Digital Image Analysis ◽  
High Throughput Phenotyping

scholarly journals Automated high-throughput high-content autophagy and mitophagy analysis platform

2018 ◽  
Author(s):  
Jonathan Arias-Fuenzalida ◽  
Javier Jarazo ◽  
Jonas Walter ◽  
Gemma Gomez-Giro ◽  
Julia I. Forster ◽  
...  
Keyword(s):  
Image Analysis ◽  
High Throughput ◽  
State Of The Art ◽  
Level Of Detail ◽  
Cell Populations ◽  
Current State ◽  
Pathological Conditions ◽  
High Throughput Phenotyping ◽  
Analysis Platform ◽  
High Throughput Manner

AbstractAutophagy and mitophagy play a central role in cellular homeostasis. In pathological conditions, the flow of autophagy and mitophagy can be affected at multiple and distinct steps of the pathways. Unfortunately, the level of detail of current state of the art analyses does not allow detection or dissection of pathway intermediates. Moreover, is conducted in low-throughput manner on bulk cell populations. Defining autophagy and mitophagy pathway intermediates in a high-throughput manner is technologically challenging, and has not been addressed so far. Here, we overcome those limitations and developed a novel high-throughput phenotyping platform with automated high-content image analysis to assess autophagy and mitophagy pathway intermediates.

scholarly journals PhenoImage: an open-source GUI for plant image analysis

2020 ◽  
Author(s):  
Feiyu Zhu ◽  
Manny Saluja ◽  
Jaspinder Singh ◽  
Puneet Paul ◽  
Scott E. Sattler ◽  
...  
Keyword(s):  
Image Analysis ◽  
Open Source ◽  
Plant Species ◽  
High Throughput ◽  
Large Scale ◽  
Imaging System ◽  
Crop Improvement ◽  
Plant Phenotyping ◽  
High Throughput Phenotyping ◽  
Improvement Programs

AbstractHigh-throughput genotyping coupled with molecular breeding approaches has dramatically accelerated crop improvement programs. More recently, improved plant phenotyping methods have led to a shift from manual measurements to automated platforms with increased scalability and resolution. Considerable effort has also gone into the development of large-scale downstream processing of the imaging datasets derived from high-throughput phenotyping (HTP) platforms. However, most available tools require some programing skills. We developed PhenoImage – an open-source GUI based cross-platform solution for HTP image processing with the aim to make image analysis accessible to users with either little or no programming skills. The open-source nature provides the possibility to extend its usability to meet user-specific requirements. The availability of multiple functions and filtering parameters provides flexibility to analyze images from a wide variety of plant species and platforms. PhenoImage can be run on a personal computer as well as on high-performance computing clusters. To test the efficacy of the application, we analyzed the LemnaTec Imaging system derived RGB and fluorescence shoot images from two plant species: sorghum and wheat differing in their physical attributes. In the study, we discuss the development, implementation, and working of the PhenoImage.HighlightPhenoImage is an open-source application designed for analyzing images derived from high-throughput phenotyping.

scholarly journals High-throughput phenotyping of lateral expansion and regrowth of spaced Lolium perenne plants using on-field image analysis

Plant Methods ◽  
2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Peter Lootens ◽  
Tom Ruttink ◽  
Antje Rohde ◽  
Didier Combes ◽  
Philippe Barre ◽  
...  
Keyword(s):  
Image Analysis ◽  
Lolium Perenne ◽  
High Throughput ◽  
Lateral Expansion ◽  
High Throughput Phenotyping

Towards high-throughput phenotyping of complex patterned behaviors: Lessons from mouse self-grooming

2011 ◽  
Author(s):  
E. Kyzar ◽  
S. Gaikwad ◽  
M. Pham ◽  
J. Green ◽  
A. Roth ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Phenotyping
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