Boxeed: Precision Seeding and seed Phenotyping
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F23%3A00131422" target="_blank" >RIV/00216224:14310/23:00131422 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.acpd2023.org/" target="_blank" >https://www.acpd2023.org/</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Boxeed: Precision Seeding and seed Phenotyping
Popis výsledku v původním jazyce
Many Arabidopsis research programs are focused on the detailed characterization of early developmental growth, followed by costly and laborious omics data processing. To make the most of such datasets, it is crucial to reduce any source of variability. One of the most challenging sources of variability is the micro-sized seeds and their manual handling. Here, we introduce Boxeed, a state-of-the-art technology intended for non-invasive, dry-seed processing including phenotyping, sorting, counting as well as their precise seeding to growth media. Boxeed is designed for seeds between 80 µm – 3 mm, reaching average working speeds of 600 seeds/hour. Phenotyping is based on 2D image analysis of individual seeds from multiple projections. Seed morphometric and fluorescence parameters are calculated in real time, making it ideal for seed selection and seed sorting directly from stocks. Using seed phenotyping and precise seed-to-seed positioning in Arabidopsis thaliana, we have identified significant variations in early postembryonic growth, which arise due to differences in seed size and seed-to-seed distance. Boxeed's seed sorting and precise seeding capabilities can reduce experimental variability thus enabling experimenters correlate hitherto hidden gene functions with phenotypes.
Název v anglickém jazyce
Boxeed: Precision Seeding and seed Phenotyping
Popis výsledku anglicky
Many Arabidopsis research programs are focused on the detailed characterization of early developmental growth, followed by costly and laborious omics data processing. To make the most of such datasets, it is crucial to reduce any source of variability. One of the most challenging sources of variability is the micro-sized seeds and their manual handling. Here, we introduce Boxeed, a state-of-the-art technology intended for non-invasive, dry-seed processing including phenotyping, sorting, counting as well as their precise seeding to growth media. Boxeed is designed for seeds between 80 µm – 3 mm, reaching average working speeds of 600 seeds/hour. Phenotyping is based on 2D image analysis of individual seeds from multiple projections. Seed morphometric and fluorescence parameters are calculated in real time, making it ideal for seed selection and seed sorting directly from stocks. Using seed phenotyping and precise seed-to-seed positioning in Arabidopsis thaliana, we have identified significant variations in early postembryonic growth, which arise due to differences in seed size and seed-to-seed distance. Boxeed's seed sorting and precise seeding capabilities can reduce experimental variability thus enabling experimenters correlate hitherto hidden gene functions with phenotypes.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10600 - Biological sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_026%2F0008446" target="_blank" >EF16_026/0008446: Integrace signálu a epigenetické reprogramování pro produktivitu rostlin</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů