Details
| Original language | English |
|---|---|
| Title of host publication | Photonic Technologies in Plant and Agricultural Science |
| Editors | Dag Heinemann, Gerrit Polder |
| Publisher | SPIE |
| Number of pages | 7 |
| ISBN (electronic) | 9781510670181 |
| Publication status | Published - 12 Mar 2024 |
| Event | Photonic Technologies in Plant and Agricultural Science 2024 - San Francisco, United States Duration: 7 Apr 2024 → 11 Apr 2024 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 12879 |
| ISSN (Print) | 0277-786X |
| ISSN (electronic) | 1996-756X |
Abstract
Plant in vitro culture techniques are fundamental for research, propagation, and breeding. Automated phenotyping of in vitro cultures can revolutionize trait evaluation by transitioning to continuous and objective quantification, as well as by enhancing accuracy, speed, and efficiency. Limited research exists on automated sensor usage in plant tissue culture, mainly focusing on "plant-to-sensor" approaches. While reflection-based imaging techniques have dominated research to date, fluorescence-based imaging could offer advantages for the application of phenotyping in commercial in vitro propagation and plant research. We developed a new detector head for our “Phenomenon” plant phenotyping system to investigate the potential of fluorescence-based in situ monitoring of plant in vitro culture. In this study, we demonstrate the acquisition of fluorescence image data from plant in vitro cultures as an advanced imaging technique for phenotyping approaches. Over time and qualitatively, we were able to document the development of hairy roots in N. tabacum after transformation with Rhizobium rhizogenes carrying the recently developed reporter gene eYGFPuv.
Keywords
- fluorescence imaging, GFP monitoring, In vitro culture, phenotyping, sensors
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Photonic Technologies in Plant and Agricultural Science. ed. / Dag Heinemann; Gerrit Polder. SPIE, 2024. 128790B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12879).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Towards automated phenotyping in plant tissue culture
T2 - Photonic Technologies in Plant and Agricultural Science 2024
AU - Bethge, Hans
AU - León, Anna Marie Tapia
AU - Rüter, Philipp
AU - Rath, Thomas
AU - Heinemann, Dag
AU - Winkelmann, Traud
PY - 2024/3/12
Y1 - 2024/3/12
N2 - Plant in vitro culture techniques are fundamental for research, propagation, and breeding. Automated phenotyping of in vitro cultures can revolutionize trait evaluation by transitioning to continuous and objective quantification, as well as by enhancing accuracy, speed, and efficiency. Limited research exists on automated sensor usage in plant tissue culture, mainly focusing on "plant-to-sensor" approaches. While reflection-based imaging techniques have dominated research to date, fluorescence-based imaging could offer advantages for the application of phenotyping in commercial in vitro propagation and plant research. We developed a new detector head for our “Phenomenon” plant phenotyping system to investigate the potential of fluorescence-based in situ monitoring of plant in vitro culture. In this study, we demonstrate the acquisition of fluorescence image data from plant in vitro cultures as an advanced imaging technique for phenotyping approaches. Over time and qualitatively, we were able to document the development of hairy roots in N. tabacum after transformation with Rhizobium rhizogenes carrying the recently developed reporter gene eYGFPuv.
AB - Plant in vitro culture techniques are fundamental for research, propagation, and breeding. Automated phenotyping of in vitro cultures can revolutionize trait evaluation by transitioning to continuous and objective quantification, as well as by enhancing accuracy, speed, and efficiency. Limited research exists on automated sensor usage in plant tissue culture, mainly focusing on "plant-to-sensor" approaches. While reflection-based imaging techniques have dominated research to date, fluorescence-based imaging could offer advantages for the application of phenotyping in commercial in vitro propagation and plant research. We developed a new detector head for our “Phenomenon” plant phenotyping system to investigate the potential of fluorescence-based in situ monitoring of plant in vitro culture. In this study, we demonstrate the acquisition of fluorescence image data from plant in vitro cultures as an advanced imaging technique for phenotyping approaches. Over time and qualitatively, we were able to document the development of hairy roots in N. tabacum after transformation with Rhizobium rhizogenes carrying the recently developed reporter gene eYGFPuv.
KW - fluorescence imaging
KW - GFP monitoring
KW - In vitro culture
KW - phenotyping
KW - sensors
UR - http://www.scopus.com/inward/record.url?scp=85190957826&partnerID=8YFLogxK
U2 - 10.1117/12.2692924
DO - 10.1117/12.2692924
M3 - Conference contribution
AN - SCOPUS:85190957826
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Photonic Technologies in Plant and Agricultural Science
A2 - Heinemann, Dag
A2 - Polder, Gerrit
PB - SPIE
Y2 - 7 April 2024 through 11 April 2024
ER -