Modular multimodal platform for classical and high throughput light sheet microscopy

Abstract

Light-sheet fluorescence microscopy (LSFM) has become an important tool for biological and biomedical research. Although several illumination and detection strategies have been developed, the sample mounting still represents a cumbersome procedure as this is highly dependent on the type of sample and often this might be time consuming. This prevents the use of LSFM in other promising applications in which a fast and straightforward sample-mounting procedure and imaging are essential. These include the high-throughput research fields, e.g. in drug screenings and toxicology studies. Here we present a new imaging paradigm for LSFM, which exploits modularity to offer multimodal imaging and straightforward sample mounting strategy, enhancing the flexibility and throughput of the system. We describe its implementation in which the sample can be imaged either as in any classical configuration, as it flows through the light-sheet using a fluidic approach, or a combination of both. We also evaluate its ability to image a variety of samples, from zebrafish embryos and larvae to 3D complex cell cultures.The authors acknowledge financial support from the Spanish Ministerio de Economía y Competitividad (MINECO) through the “Severo Ochoa” program for Centres of Excellence in R&D (CEX2019-000910-S [MCIN/ AEI/10.13039/501100011033]), Fundació Privada Cellex, Fundació Mir-Puig, and Generalitat de Catalunya through CERCA program; MINECO/FEDER Ramón y Cajal program (RYC-2015-17935); Laserlab- Europe EU-H2020 GA no. 871124; European Union’s Horizon 2020 Framework Programme (H2020 Marie Skłodowska-Curie Innovative Training Networks ImageInLife N. 721537). We thank Verena Ruprecht (CRG- Center of Genomic Regulation, Barcelona), Paz Herráez (Universidad de León), Ester Antón-Galindo and Noelia Fernández-Castillo (Universitat de Barcelona), Marymar Becerra (Universidad Nacional Autónoma de México), Georges Lutfalla, Mai Nguyen Chi and Tamara Sipka (Université de Montpellier), Catarina Brito (ITQB/IBEQ, Lisbon), Antonia Weberling and Magdalena Zernicka-Goetz (University of Cambridge), and Corinne Lorenzo (ITAV – CNRS, Toulouse) for the samples provided. We also thank Maria Marsal and Jordi Andilla for many fruitful discussions.Postprint (published version