التفاصيل البيبلوغرافية
| العنوان: |
Accelerated high-throughput imaging and phenotyping system for small organisms |
| المؤلفون: |
Kose, Talha, Lins, Tiago F., Wang, Jessie, O’Brien, Anna M., Sinton, David, Frederickson, Megan E. |
| المساهمون: |
Al-Shaeri, Majed Ahmed M., Gordon and Betty Moore Foundation, NSERC |
| المصدر: |
PLOS ONE ; volume 18, issue 7, page e0287739 ; ISSN 1932-6203 |
| بيانات النشر: |
Public Library of Science (PLoS) |
| سنة النشر: |
2023 |
| المجموعة: |
PLOS Publications (via CrossRef) |
| الوصف: |
Studying the complex web of interactions in biological communities requires large multifactorial experiments with sufficient statistical power. Automation tools reduce the time and labor associated with setup, data collection, and analysis in experiments that untangle these webs. We developed tools for high-throughput experimentation (HTE) in duckweeds, small aquatic plants that are amenable to autonomous experimental preparation and image-based phenotyping. We showcase the abilities of our HTE system in a study with 6,000 experimental units grown across 2,000 treatments. These automated tools facilitated the collection and analysis of time-resolved growth data, which revealed finer dynamics of plant-microbe interactions across environmental gradients. Altogether, our HTE system can run experiments with up to 11,520 experimental units and can be adapted for other small organisms. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1371/journal.pone.0287739 |
| الإتاحة: |
https://doi.org/10.1371/journal.pone.0287739Test |
| حقوق: |
http://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.F5C938B5 |
| قاعدة البيانات: |
BASE |
