{"id":164101,"global_id":"www.bordeaux-neurocampus.fr\/en\/?id=164101","global_id_lineage":["www.bordeaux-neurocampus.fr\/en\/?id=164101"],"author":"325","status":"publish","date":"2023-11-06 15:53:10","date_utc":"2023-11-06 14:53:10","modified":"2023-11-10 15:33:23","modified_utc":"2023-11-10 14:33:23","url":"https:\/\/www.bordeaux-neurocampus.fr\/en\/event\/soutenance-de-these-maxime-malivert\/","rest_url":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/tribe\/events\/v1\/events\/164101","title":"Thesis defense – <\/span>Maxime Malivert","description":"

\"\"Venue : CGFB<\/p>\n

Thesis defense in french<\/p>\n

\n

Maxime Malivert
\n<\/strong>IINS
\n\u00c9quipe : Bordeaux Imaging Center \u2013 Photonic unit<\/a>
\nThesis directed by Daniel Choquet
\n<\/span><\/p>\n

\n

Title<\/h3>\n

Adaptive optics integration in lattice light-sheet microscope for depth super-resolution imaging<\/p>\n

Abstract<\/h3>\n

Fluorescence microscopy has become an indispensable tool for biological studies, allowing<\/span> observation of structures of interest. Used on both fixed or living samples, it provides great<\/span> specificity and high-contrast. Among these techniques, the optical sectioning offered by<\/span> light-sheet microscopy (LSFM or SPIM) is a game-changer. It maximises image contrast<\/span> whilst avoiding too rapid fluorescence loss of the samples. Lattice light-sheet microscopy<\/span> (LLSM) improves these characteristics by using a thinner light-sheet over a larger field of<\/span> view. As a result, it offers the possibility of fluorescence imaging inside thick samples down <\/span>to around 30<\/span><\/span> \u03bc<\/span><\/span>m. In addition, it allows with very high spatial and temporal resolution<\/span> whilst almost obliviating phototoxicity.<\/span><\/span>
As other microscopy techniques, it suffers from two drawbacks, both linked to the nature<\/span> of the light, impairing the image\u2019s quality. (1) Multiple interfaces and the inhomogeneity<\/span> of samples induce optical aberrations that increase with imaging depth. Hence, disruption <\/span>of the wavefront highly impairs the final resolution of the image. (2) The diffraction limit<\/span> constrains the resolution to a minimum of ~200 nm and therefore prevents the observation<\/span> <\/span>of structures smaller than this limit.<\/span><\/span> As a workaround to these phenomena, we decided to implement two methods on the<\/span> LLSM: (1) adaptive optics to minimise optical aberrations in the depth of thick samples<\/span> and (2) super-resolution microscopy using a single molecule localisation microscopy<\/span> (SMLM) technique, called DNA-PAINT, to achieve nanometric resolutions. Our method,<\/span> called AIO, is based on the images recorded by the camera, through refocusing of the light<\/span> sheet (AF) and correction in response to indirect measurement of the wavefront, called<\/span> (3N+).<\/span><\/span>
This thesis presents the original design of the method, and the optimization of its<\/span> parameters. AIO improves the resolution and contrast of diffraction-limited and SMLM<\/span> resolution images. (1) In “classical” resolution, the AIO enables a plane wavefront to be<\/span> recovered with an error of less than 50 nm RMS and in less than 40 seconds. Correcting<\/span> aberrations also optimises the deconvolution process by restoring the system’s PSF. This<\/span> gain is illustrated by the imaging of dendritic spines at 40 \u03bcm below the surface of<\/span> organotypic brain slices and the acquisition of the second cell layer of Arabidopsis roots.<\/span> (2) In super-resolution, we demonstrated the application of a DNA-PAINT protocol down<\/span> to ~50 \u03bcm below the surface of brain slices and the value of adaptive optics for improving<\/span> detection density and localisation accuracy in SMLM reconstruction.<\/span><\/span><\/p>\n

<\/span>Keywords <\/span><\/span><\/span><\/h3>\n

Lattice<\/span> light-sheet<\/span> microscopy,<\/span> Adaptive Optics,<\/span> Super-resolution<\/span> microscopy, <\/span>Single-molecule localization microscopy<\/span><\/span><\/p>\n

Publication<\/h3>\n

Active image optimization for lattice light sheet microscopy in thick samples<\/strong> – Maxime Malivert<\/strong>, Fabrice Harms, Cynthia Veilly, Jerome Legrand, Ziqiang Li, Emmanuelle Bayer, Daniel Choquet<\/strong>, Mathieu Ducros<\/strong>. Biomed. Opt. Express<\/em>. 2022-11-07. 13(12) : 6211.\u00a0 10.1364\/BOE.471757<\/span><\/p>\n

Jury<\/h3>\n

Mme Fragola Alexandra, professeur des Universit\u00e9s, Universit\u00e9 Paris-Saclay – Rapportrice
\nMme Danglot Lydia, CR INSERM, Directrice Scientifique de Neurimag, IPNP – Rapportrice
\nMr Choquet Daniel, DR CNRS, IINS, Examinateur
\nMme Bayer Emmanuelle, DR CNRS, LMB, Examinateur
\nMr Colombelli Julien, Directeur Plateforme Imagerie, IRB Barcelona, Examinateur
\nMr Galland R\u00e9mi, CR CNRS, IINS, Invit\u00e9
\nMr Harms Fabrice, Responsable Scientifique, Imagine Optic, Invit\u00e9<\/p>","excerpt":"

Int\u00e9gration de l\u2019optique adaptative sur un microscope \u00e0 feuille de lumi\u00e8re \u00ab lattice \u00bb pour l\u2019imagerie super-r\u00e9solue en profondeur.<\/p>","slug":"soutenance-de-these-maxime-malivert","image":false,"all_day":false,"start_date":"2023-11-23 14:30:00","start_date_details":{"year":"2023","month":"11","day":"23","hour":"14","minutes":"30","seconds":"00"},"end_date":"2023-11-23 14:30:00","end_date_details":{"year":"2023","month":"11","day":"23","hour":"14","minutes":"30","seconds":"00"},"utc_start_date":"2023-11-23 13:30:00","utc_start_date_details":{"year":"2023","month":"11","day":"23","hour":"13","minutes":"30","seconds":"00"},"utc_end_date":"2023-11-23 13:30:00","utc_end_date_details":{"year":"2023","month":"11","day":"23","hour":"13","minutes":"30","seconds":"00"},"timezone":"Europe\/Paris","timezone_abbr":"CET","cost":"","cost_details":{"currency_symbol":"","currency_position":"prefix","values":[]},"website":"","show_map":false,"show_map_link":false,"hide_from_listings":false,"sticky":false,"featured":false,"categories":[{"name":"Thesis","slug":"theses-en","term_group":0,"term_taxonomy_id":187,"taxonomy":"tribe_events_cat","description":"","parent":0,"count":254,"filter":"raw","id":187,"urls":{"self":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/tribe\/events\/v1\/categories\/187","collection":"https:\/\/www.bordeaux-neurocampus.fr\/en\/wp-json\/tribe\/events\/v1\/categories"}}],"tags":[],"venue":[],"organizer":[],"json_ld":{"@context":"http:\/\/schema.org","@type":"Event","name":"<span>Thesis defense – <\/span>Maxime Malivert","description":"<p>Int\u00e9gration de l\u2019optique adaptative sur un microscope \u00e0 feuille de lumi\u00e8re \u00ab lattice \u00bb pour l\u2019imagerie super-r\u00e9solue en profondeur.<\/p>\\n","url":"https:\/\/www.bordeaux-neurocampus.fr\/en\/event\/soutenance-de-these-maxime-malivert\/","startDate":"2023-11-23T14:30:00+01:00","endDate":"2023-11-23T14:30:00+01:00","performer":"Organization"}}