GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems

Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define...
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Autor*in:	Rubén Rellán-Álvarez [verfasserIn] Guillaume Lobet [verfasserIn] Heike Lindner [verfasserIn] Pierre-Luc Pradier [verfasserIn] Jose Sebastian [verfasserIn] Muh-Ching Yee [verfasserIn] Yu Geng [verfasserIn] Charlotte Trontin [verfasserIn] Therese LaRue [verfasserIn] Amanda Schrager-Lavelle [verfasserIn] Cara H Haney [verfasserIn] Rita Nieu [verfasserIn] Julin Maloof [verfasserIn] John P Vogel [verfasserIn] José R Dinneny [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	imaging system Brachypodium distachyon Lycopersicon esculentum

Übergeordnetes Werk:	In: eLife - eLife Sciences Publications Ltd, 2013, 4(2015)
Übergeordnetes Werk:	volume:4 ; year:2015

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.7554/eLife.07597

Katalog-ID:	DOAJ020484607

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allfields	10.7554/eLife.07597 doi (DE-627)DOAJ020484607 (DE-599)DOAJ76d3699896654cc29da6a13e1d54e35e DE-627 ger DE-627 rakwb eng QH301-705.5 Rubén Rellán-Álvarez verfasserin aut GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes. imaging system Brachypodium distachyon Lycopersicon esculentum Medicine R Science Q Biology (General) Guillaume Lobet verfasserin aut Heike Lindner verfasserin aut Pierre-Luc Pradier verfasserin aut Jose Sebastian verfasserin aut Muh-Ching Yee verfasserin aut Yu Geng verfasserin aut Charlotte Trontin verfasserin aut Therese LaRue verfasserin aut Amanda Schrager-Lavelle verfasserin aut Cara H Haney verfasserin aut Rita Nieu verfasserin aut Julin Maloof verfasserin aut John P Vogel verfasserin aut José R Dinneny verfasserin aut In eLife eLife Sciences Publications Ltd, 2013 4(2015) (DE-627)728518384 (DE-600)2687154-3 2050084X nnns volume:4 year:2015 https://doi.org/10.7554/eLife.07597 kostenfrei https://doaj.org/article/76d3699896654cc29da6a13e1d54e35e kostenfrei https://elifesciences.org/articles/07597 kostenfrei https://doaj.org/toc/2050-084X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2015
spelling	10.7554/eLife.07597 doi (DE-627)DOAJ020484607 (DE-599)DOAJ76d3699896654cc29da6a13e1d54e35e DE-627 ger DE-627 rakwb eng QH301-705.5 Rubén Rellán-Álvarez verfasserin aut GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes. imaging system Brachypodium distachyon Lycopersicon esculentum Medicine R Science Q Biology (General) Guillaume Lobet verfasserin aut Heike Lindner verfasserin aut Pierre-Luc Pradier verfasserin aut Jose Sebastian verfasserin aut Muh-Ching Yee verfasserin aut Yu Geng verfasserin aut Charlotte Trontin verfasserin aut Therese LaRue verfasserin aut Amanda Schrager-Lavelle verfasserin aut Cara H Haney verfasserin aut Rita Nieu verfasserin aut Julin Maloof verfasserin aut John P Vogel verfasserin aut José R Dinneny verfasserin aut In eLife eLife Sciences Publications Ltd, 2013 4(2015) (DE-627)728518384 (DE-600)2687154-3 2050084X nnns volume:4 year:2015 https://doi.org/10.7554/eLife.07597 kostenfrei https://doaj.org/article/76d3699896654cc29da6a13e1d54e35e kostenfrei https://elifesciences.org/articles/07597 kostenfrei https://doaj.org/toc/2050-084X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2015
allfields_unstemmed	10.7554/eLife.07597 doi (DE-627)DOAJ020484607 (DE-599)DOAJ76d3699896654cc29da6a13e1d54e35e DE-627 ger DE-627 rakwb eng QH301-705.5 Rubén Rellán-Álvarez verfasserin aut GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes. imaging system Brachypodium distachyon Lycopersicon esculentum Medicine R Science Q Biology (General) Guillaume Lobet verfasserin aut Heike Lindner verfasserin aut Pierre-Luc Pradier verfasserin aut Jose Sebastian verfasserin aut Muh-Ching Yee verfasserin aut Yu Geng verfasserin aut Charlotte Trontin verfasserin aut Therese LaRue verfasserin aut Amanda Schrager-Lavelle verfasserin aut Cara H Haney verfasserin aut Rita Nieu verfasserin aut Julin Maloof verfasserin aut John P Vogel verfasserin aut José R Dinneny verfasserin aut In eLife eLife Sciences Publications Ltd, 2013 4(2015) (DE-627)728518384 (DE-600)2687154-3 2050084X nnns volume:4 year:2015 https://doi.org/10.7554/eLife.07597 kostenfrei https://doaj.org/article/76d3699896654cc29da6a13e1d54e35e kostenfrei https://elifesciences.org/articles/07597 kostenfrei https://doaj.org/toc/2050-084X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2015
allfieldsGer	10.7554/eLife.07597 doi (DE-627)DOAJ020484607 (DE-599)DOAJ76d3699896654cc29da6a13e1d54e35e DE-627 ger DE-627 rakwb eng QH301-705.5 Rubén Rellán-Álvarez verfasserin aut GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes. imaging system Brachypodium distachyon Lycopersicon esculentum Medicine R Science Q Biology (General) Guillaume Lobet verfasserin aut Heike Lindner verfasserin aut Pierre-Luc Pradier verfasserin aut Jose Sebastian verfasserin aut Muh-Ching Yee verfasserin aut Yu Geng verfasserin aut Charlotte Trontin verfasserin aut Therese LaRue verfasserin aut Amanda Schrager-Lavelle verfasserin aut Cara H Haney verfasserin aut Rita Nieu verfasserin aut Julin Maloof verfasserin aut John P Vogel verfasserin aut José R Dinneny verfasserin aut In eLife eLife Sciences Publications Ltd, 2013 4(2015) (DE-627)728518384 (DE-600)2687154-3 2050084X nnns volume:4 year:2015 https://doi.org/10.7554/eLife.07597 kostenfrei https://doaj.org/article/76d3699896654cc29da6a13e1d54e35e kostenfrei https://elifesciences.org/articles/07597 kostenfrei https://doaj.org/toc/2050-084X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2015
allfieldsSound	10.7554/eLife.07597 doi (DE-627)DOAJ020484607 (DE-599)DOAJ76d3699896654cc29da6a13e1d54e35e DE-627 ger DE-627 rakwb eng QH301-705.5 Rubén Rellán-Álvarez verfasserin aut GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes. imaging system Brachypodium distachyon Lycopersicon esculentum Medicine R Science Q Biology (General) Guillaume Lobet verfasserin aut Heike Lindner verfasserin aut Pierre-Luc Pradier verfasserin aut Jose Sebastian verfasserin aut Muh-Ching Yee verfasserin aut Yu Geng verfasserin aut Charlotte Trontin verfasserin aut Therese LaRue verfasserin aut Amanda Schrager-Lavelle verfasserin aut Cara H Haney verfasserin aut Rita Nieu verfasserin aut Julin Maloof verfasserin aut John P Vogel verfasserin aut José R Dinneny verfasserin aut In eLife eLife Sciences Publications Ltd, 2013 4(2015) (DE-627)728518384 (DE-600)2687154-3 2050084X nnns volume:4 year:2015 https://doi.org/10.7554/eLife.07597 kostenfrei https://doaj.org/article/76d3699896654cc29da6a13e1d54e35e kostenfrei https://elifesciences.org/articles/07597 kostenfrei https://doaj.org/toc/2050-084X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2015
language	English
source	In eLife 4(2015) volume:4 year:2015
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topic_facet	imaging system Brachypodium distachyon Lycopersicon esculentum Medicine R Science Q Biology (General)
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container_title	eLife
authorswithroles_txt_mv	Rubén Rellán-Álvarez @@aut@@ Guillaume Lobet @@aut@@ Heike Lindner @@aut@@ Pierre-Luc Pradier @@aut@@ Jose Sebastian @@aut@@ Muh-Ching Yee @@aut@@ Yu Geng @@aut@@ Charlotte Trontin @@aut@@ Therese LaRue @@aut@@ Amanda Schrager-Lavelle @@aut@@ Cara H Haney @@aut@@ Rita Nieu @@aut@@ Julin Maloof @@aut@@ John P Vogel @@aut@@ José R Dinneny @@aut@@
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callnumber-first	Q - Science
author	Rubén Rellán-Álvarez
spellingShingle	Rubén Rellán-Álvarez misc QH301-705.5 misc imaging system misc Brachypodium distachyon misc Lycopersicon esculentum misc Medicine misc R misc Science misc Q misc Biology (General) GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
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topic_title	QH301-705.5 GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems imaging system Brachypodium distachyon Lycopersicon esculentum
topic	misc QH301-705.5 misc imaging system misc Brachypodium distachyon misc Lycopersicon esculentum misc Medicine misc R misc Science misc Q misc Biology (General)
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title	GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
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title_full	GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
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title_sort	glo-roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
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title_auth	GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
abstract	Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes.
abstractGer	Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes.
abstract_unstemmed	Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes.
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title_short	GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
url	https://doi.org/10.7554/eLife.07597 https://doaj.org/article/76d3699896654cc29da6a13e1d54e35e https://elifesciences.org/articles/07597 https://doaj.org/toc/2050-084X
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author2Str	Guillaume Lobet Heike Lindner Pierre-Luc Pradier Jose Sebastian Muh-Ching Yee Yu Geng Charlotte Trontin Therese LaRue Amanda Schrager-Lavelle Cara H Haney Rita Nieu Julin Maloof John P Vogel José R Dinneny
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up_date	2024-07-03T15:13:40.735Z
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GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems

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