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Planchette AL, Schmidt C, Burri O, Gomez de Agüero M, Radenovic A, Mylonas A, Extermann J. Optical imaging of the small intestine immune compartment across scales. Commun Biol 2023; 6:352. [PMID: 37002381 PMCID: PMC10066397 DOI: 10.1038/s42003-023-04642-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 02/28/2023] [Indexed: 04/03/2023] Open
Abstract
The limitations of 2D microscopy constrain our ability to observe and understand tissue-wide networks that are, by nature, 3-dimensional. Optical projection tomography (OPT) enables the acquisition of large volumes (ranging from micrometres to centimetres) in various tissues. We present a multi-modal workflow for the characterization of both structural and quantitative parameters of the mouse small intestine. As proof of principle, we evidence its applicability for imaging the mouse intestinal immune compartment and surrounding mucosal structures. We quantify the volumetric size and spatial distribution of Isolated Lymphoid Follicles (ILFs) and quantify the density of villi throughout centimetre-long segments of intestine. Furthermore, we exhibit the age and microbiota dependence for ILF development, and leverage a technique that we call reverse-OPT for identifying and homing in on regions of interest. Several quantification capabilities are displayed, including villous density in the autofluorescent channel and the size and spatial distribution of the signal of interest at millimetre-scale volumes. The concatenation of 3D imaging with reverse-OPT and high-resolution 2D imaging allows accurate localisation of ROIs and adds value to interpretations made in 3D. Importantly, OPT may be used to identify sparsely-distributed regions of interest in large volumes whilst retaining compatibility with high-resolution microscopy modalities, including confocal microscopy. We believe this pipeline to be approachable for a wide-range of specialties, and to provide a new method for characterisation of the mouse intestinal immune compartment.
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Affiliation(s)
- Arielle Louise Planchette
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
| | - Cédric Schmidt
- HEPIA/HES-SO, University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202, Geneva, Switzerland
| | - Olivier Burri
- BioImaging & Optics Platform, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - Mercedes Gomez de Agüero
- Host-microbial interactions group, Institute of Systems Immunology, Max Planck research group, University of Würzburg, Würzburg, Germany
- Mucosal Immunology Group, Department for Biomedical Research, University of Bern, Bern, Switzerland
| | - Aleksandra Radenovic
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland.
| | - Alessio Mylonas
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - Jérôme Extermann
- HEPIA/HES-SO, University of Applied Sciences of Western Switzerland, Rue de la Prairie 4, 1202, Geneva, Switzerland
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Vernet H, Fullana AM, Sorribas FJ, Gualda EJ. Development of Microscopic Techniques for the Visualization of Plant–Root-Knot Nematode Interaction. PLANTS 2022; 11:plants11091165. [PMID: 35567165 PMCID: PMC9104198 DOI: 10.3390/plants11091165] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/20/2022] [Accepted: 04/22/2022] [Indexed: 11/16/2022]
Abstract
Plant-parasitic nematodes are a significant cause of yield losses and food security issues. Specifically, nematodes of the genus Meloidogyne can cause significant production losses in horticultural crops around the world. Understanding the mechanisms of the ever-changing physiology of plant roots by imaging the galls induced by nematodes could provide a great insight into their control. However, infected roots are unsuitable for light microscopy investigation due to the opacity of plant tissues. Thus, samples must be cleared to visualize the interior of whole plants in order to make them transparent using clearing agents. This work aims to identify which clearing protocol and microscopy system is the most appropriate to obtain 3D images of tomato cv. Durinta and eggplant cv. Cristal samples infected with Meloidogyne incognita to visualize and study the root–nematode interaction. To that extent, two clearing solutions (BABB and ECi), combined with three different dehydration solvents (ethanol, methanol and 1-propanol), are tested. In addition, the advantages and disadvantages of alternative imaging techniques to confocal microscopy are analyzed by employing an experimental custom-made setup that combines two microscopic techniques, light sheet fluorescence microscopy and optical projection tomography, on a single instrument.
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Prunet N, Duncan K. Imaging flowers: a guide to current microscopy and tomography techniques to study flower development. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:2898-2909. [PMID: 32383442 PMCID: PMC7260710 DOI: 10.1093/jxb/eraa094] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 05/06/2020] [Indexed: 05/20/2023]
Abstract
Developmental biology relies heavily on our ability to generate three-dimensional images of live biological specimens through time, and to map gene expression and hormone response in these specimens as they undergo development. The last two decades have seen an explosion of new bioimaging technologies that have pushed the limits of spatial and temporal resolution and provided biologists with invaluable new tools. However, plant tissues are difficult to image, and no single technology fits all purposes; choosing between many bioimaging techniques is not trivial. Here, we review modern light microscopy and computed projection tomography methods, their capabilities and limitations, and we discuss their current and potential applications to the study of flower development and fertilization.
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Affiliation(s)
| | - Keith Duncan
- Donald Danforth Plant Science Center, St. Louis, MO, USA
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Olas JJ, Fichtner F, Apelt F. All roads lead to growth: imaging-based and biochemical methods to measure plant growth. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:11-21. [PMID: 31613967 PMCID: PMC6913701 DOI: 10.1093/jxb/erz406] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 08/28/2019] [Indexed: 05/31/2023]
Abstract
Plant growth is a highly complex biological process that involves innumerable interconnected biochemical and signalling pathways. Many different techniques have been developed to measure growth, unravel the various processes that contribute to plant growth, and understand how a complex interaction between genotype and environment determines the growth phenotype. Despite this complexity, the term 'growth' is often simplified by researchers; depending on the method used for quantification, growth is viewed as an increase in plant or organ size, a change in cell architecture, or an increase in structural biomass. In this review, we summarise the cellular and molecular mechanisms underlying plant growth, highlight state-of-the-art imaging and non-imaging-based techniques to quantitatively measure growth, including a discussion of their advantages and drawbacks, and suggest a terminology for growth rates depending on the type of technique used.
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Affiliation(s)
- Justyna Jadwiga Olas
- University of Potsdam, Institute of Biochemistry and Biology, Karl-Liebknecht-Straße, Haus, Potsdam, Germany
| | - Franziska Fichtner
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg, Potsdam, Germany
| | - Federico Apelt
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg, Potsdam, Germany
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Vallejo Ramirez PP, Zammit J, Vanderpoorten O, Riche F, Blé FX, Zhou XH, Spiridon B, Valentine C, Spasov SE, Oluwasanya PW, Goodfellow G, Fantham MJ, Siddiqui O, Alimagham F, Robbins M, Stretton A, Simatos D, Hadeler O, Rees EJ, Ströhl F, Laine RF, Kaminski CF. OptiJ: Open-source optical projection tomography of large organ samples. Sci Rep 2019; 9:15693. [PMID: 31666606 PMCID: PMC6821862 DOI: 10.1038/s41598-019-52065-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 10/09/2019] [Indexed: 12/20/2022] Open
Abstract
The three-dimensional imaging of mesoscopic samples with Optical Projection Tomography (OPT) has become a powerful tool for biomedical phenotyping studies. OPT uses visible light to visualize the 3D morphology of large transparent samples. To enable a wider application of OPT, we present OptiJ, a low-cost, fully open-source OPT system capable of imaging large transparent specimens up to 13 mm tall and 8 mm deep with 50 µm resolution. OptiJ is based on off-the-shelf, easy-to-assemble optical components and an ImageJ plugin library for OPT data reconstruction. The software includes novel correction routines for uneven illumination and sample jitter in addition to CPU/GPU accelerated reconstruction for large datasets. We demonstrate the use of OptiJ to image and reconstruct cleared lung lobes from adult mice. We provide a detailed set of instructions to set up and use the OptiJ framework. Our hardware and software design are modular and easy to implement, allowing for further open microscopy developments for imaging large organ samples.
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Affiliation(s)
- Pedro P Vallejo Ramirez
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Joseph Zammit
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Oliver Vanderpoorten
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Fergus Riche
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Francois-Xavier Blé
- Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Cambridge, UK
| | - Xiao-Hong Zhou
- Bioscience, Respiratory, Inflammation and Autoimmunity, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Bogdan Spiridon
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | | | - Simeon E Spasov
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | | | - Gemma Goodfellow
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Marcus J Fantham
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Omid Siddiqui
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Farah Alimagham
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Miranda Robbins
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Andrew Stretton
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Dimitrios Simatos
- Sensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK
| | - Oliver Hadeler
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Eric J Rees
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Florian Ströhl
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Department of Physics and Technology, UiT The Arctic University of Norway, NO-9037, Tromsø, Norway
| | - Romain F Laine
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Medical Research Council Laboratory for Molecular Cell Biology (LMCB), University College London, Gower Street, London, WC1E 6BT, UK
| | - Clemens F Kaminski
- Laser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
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Lazcano-Ramírez HG, Gómez-Felipe A, Díaz-Ramírez D, Durán-Medina Y, Sánchez-Segura L, de Folter S, Marsch-Martínez N. Non-destructive Plant Morphometric and Color Analyses Using an Optoelectronic 3D Color Microscope. FRONTIERS IN PLANT SCIENCE 2018; 9:1409. [PMID: 30319671 PMCID: PMC6167917 DOI: 10.3389/fpls.2018.01409] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 09/05/2018] [Indexed: 06/08/2023]
Abstract
Gene function discovery in plants, as other plant science quests, is aided by tools that image, document, and measure plant phenotypes. Tools that acquire images of plant organs and tissues at the microscopic level have evolved from qualitative documentation tools, to advanced tools where software-assisted analysis of images extracts quantitative information that allows statistical analyses. They are useful to perform morphometric studies that describe plant physical characteristics and quantify phenotypes, aiding gene function discovery. In parallel, non-destructive, versatile, robust, and user friendly technologies have also been developed for surface topography analysis and quality control in the industrial manufacture sector, such as optoelectronic three-dimensional (3D) color microscopes. These microscopes combine optical lenses, electronic image sensors, motorized stages, graphics engines, and user friendly software to allow the visualization and inspection of objects of diverse sizes and shapes from different angles. This allow the integration of different automatically obtained images along the Z axis of an object, into a single image with a large depth-of-field, or a 3D model in color. In this work, we explored the performance of an optoelectronic microscope to study plant morphological phenotypes and plant surfaces in different model species. Furthermore, as a "proof-of-concept," we included the phenotypic characterization (morphometric analyses at the organ level, color, and cell size measurements) of Arabidopsis mutant leaves. We found that the microscope tested is a suitable, practical, and fast tool to routinely and precisely analyze different plant organs and tissues, producing both high-quality, sharp color images and morphometric and color data in real time. It is fully compatible with live plant tissues (no sample preparation is required) and does not require special conditions, high maintenance, nor complex training. Therefore, though barely reported in plant scientific studies, optoelectronic microscopes should emerge as convenient and useful tools for phenotypic characterization in plant sciences.
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Affiliation(s)
- Hugo G. Lazcano-Ramírez
- Departamento de Biotecnología y Bioquímica, Unidad Irapuato, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Mexico
| | - Andrea Gómez-Felipe
- Unidad de Genómica Avanzada (LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Guanajuato, Mexico
| | - David Díaz-Ramírez
- Departamento de Biotecnología y Bioquímica, Unidad Irapuato, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Mexico
| | - Yolanda Durán-Medina
- Departamento de Biotecnología y Bioquímica, Unidad Irapuato, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Mexico
| | - Lino Sánchez-Segura
- Departamento de Biotecnología y Bioquímica, Unidad Irapuato, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Mexico
- Departamento de Ingeniería Genética, Unidad Irapuato, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Mexico
| | - Stefan de Folter
- Unidad de Genómica Avanzada (LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Guanajuato, Mexico
| | - Nayelli Marsch-Martínez
- Departamento de Biotecnología y Bioquímica, Unidad Irapuato, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Mexico
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Abstract
The angiosperm flower develops through a modular programme which, although ancient and conserved, provides the flexibility that has allowed an almost infinite variety of floral forms to emerge. In this review, we explore the evolution of floral diversity, focusing on our recent understanding of the mechanistic basis of evolutionary change. We discuss the various ways in which flower size and floral organ size can be modified, the means by which flower shape and symmetry can change, and the ways in which floral organ position can be varied. We conclude that many challenges remain before we fully understand the ecological and molecular processes that facilitate the diversification of flower structure.
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Nguyen D, Marchand PJ, Planchette AL, Nilsson J, Sison M, Extermann J, Lopez A, Sylwestrzak M, Sordet-Dessimoz J, Schmidt-Christensen A, Holmberg D, Van De Ville D, Lasser T. Optical projection tomography for rapid whole mouse brain imaging. BIOMEDICAL OPTICS EXPRESS 2017; 8:5637-5650. [PMID: 29296493 PMCID: PMC5745108 DOI: 10.1364/boe.8.005637] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 10/31/2017] [Accepted: 10/31/2017] [Indexed: 05/21/2023]
Abstract
In recent years, three-dimensional mesoscopic imaging has gained significant importance in life sciences for fundamental studies at the whole-organ level. In this manuscript, we present an optical projection tomography (OPT) method designed for imaging of the intact mouse brain. The system features an isotropic resolution of ~50 µm and an acquisition time of four to eight minutes, using a 3-day optimized clearing protocol. Imaging of the brain autofluorescence in 3D reveals details of the neuroanatomy, while the use of fluorescent labels displays the vascular network and amyloid deposition in 5xFAD mice, an important model of Alzheimer's disease (AD). Finally, the OPT images are compared with histological slices.
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Affiliation(s)
- David Nguyen
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
| | - Paul J. Marchand
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
| | - Arielle L. Planchette
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
| | - Julia Nilsson
- Autoimmunity, Department of Experimental Medical Sciences, Lund University Diabetes Centre, 20502 Malmö,
Sweden
| | - Miguel Sison
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
| | - Jérôme Extermann
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
| | - Antonio Lopez
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
| | - Marcin Sylwestrzak
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
| | - Jessica Sordet-Dessimoz
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
| | - Anja Schmidt-Christensen
- Autoimmunity, Department of Experimental Medical Sciences, Lund University Diabetes Centre, 20502 Malmö,
Sweden
| | - Dan Holmberg
- Autoimmunity, Department of Experimental Medical Sciences, Lund University Diabetes Centre, 20502 Malmö,
Sweden
| | - Dimitri Van De Ville
- Medical Image Processing Lab, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1202 Genève,
Switzerland
| | - Theo Lasser
- Laboratoire d’Optique Biomédicale, School of Engineering, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne,
Switzerland
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