Quality assessment in light microscopy for routine use through simple tools and robust metrics

Author:

Faklaris Orestis1ORCID,Bancel-Vallée Leslie1,Dauphin Aurélien2ORCID,Monterroso Baptiste3ORCID,Frère Perrine4,Geny David5ORCID,Manoliu Tudor6ORCID,de Rossi Sylvain1,Cordelières Fabrice P.7ORCID,Schapman Damien8,Nitschke Roland9ORCID,Cau Julien1ORCID,Guilbert Thomas10ORCID

Affiliation:

1. Montpellier Ressources Imagerie, Biocampus, University of Montpellier, CNRS, INSERM, Montpellier, France 1

2. Unite Genetique et Biologie du Développement U934, PICT-IBiSA, Institut Curie, INSERM, CNRS, PSL Research University, Paris, France 2

3. Prism, Institut de Biologie Valrose, CNRS UMR 7277, INSERM 1091, University of Nice Sophia Antipolis – Parc Valrose, Nice, France 3

4. Plate-forme d'Imagerie de Tenon, UMR_S 1155, Hôpital Tenon, Paris, France 4

5. Institut de Psychiatrie Et Neurosciences de Paris, INSERM U1266, Paris, France 5

6. Gustave Roussy, Université Paris-Saclay, Plate-forme Imagerie et Cytométrie, UMS AMMICa. Villejuif, France 6

7. University of Bordeaux, CNRS, INSERM, Bordeaux Imaging Center, UMS 3420, US 4, Bordeaux, France 7

8. Université of Rouen Normandie, INSERM, Plate-Forme de Recherche en Imagerie Cellulaire de Normandie, Rouen, France 8

9. Life Imaging Center and Signalling Research Centres CIBSS and BIOSS, University Freiburg, Freiburg, Germany 9

10. Institut Cochin, INSERM (U1016), CNRS (UMR 8104), Universite de Paris (UMR-S1016), Paris, France 10

Abstract

Although there is a need to demonstrate reproducibility in light microscopy acquisitions, the lack of standardized guidelines monitoring microscope health status over time has so far impaired the widespread use of quality control (QC) measurements. As scientists from 10 imaging core facilities who encounter various types of projects, we provide affordable hardware and open source software tools, rigorous protocols, and define reference values to assess QC metrics for the most common fluorescence light microscopy modalities. Seven protocols specify metrics on the microscope resolution, field illumination flatness, chromatic aberrations, illumination power stability, stage drift, positioning repeatability, and spatial-temporal noise of camera sensors. We designed the MetroloJ_QC ImageJ/Fiji Java plugin to incorporate the metrics and automate analysis. Measurements allow us to propose an extensive characterization of the QC procedures that can be used by any seasoned microscope user, from research biologists with a specialized interest in fluorescence light microscopy through to core facility staff, to ensure reproducible and quantifiable microscopy results.

Funder

French National Research Agency

Centre National de la Recherche Scientifique

Publisher

Rockefeller University Press

Subject

Cell Biology

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