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Robertson LA. Antoni van Leeuwenhoek 1723-2023: a review to commemorate Van Leeuwenhoek's death, 300 years ago : For submission to Antonie van Leeuwenhoek journal of microbiology. Antonie Van Leeuwenhoek 2023; 116:919-935. [PMID: 37525002 PMCID: PMC10509104 DOI: 10.1007/s10482-023-01859-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/21/2023] [Indexed: 08/02/2023]
Abstract
In the 300 years since Van Leeuwenhoek died, some of the details around his life and his work have provided material for discussion or dispute. As archives and libraries are being scanned and technology improves, information is becoming more readily available. This review therefore aims to take a new look at some of those discussions, and Van Leeuwenhoek's possible experimental methods. Digital photography has made it possible to show exactly what can be seen through his simple microscopes, and how he could have obtained his results by, for example, modifying his microscopes and lighting. Equally, the completion of the series known as the Collected Letters, begun in 1931 with volume 1 published in 1939 and to be completed in 2023, allows researchers to see complete letters in English and modern Dutch. Theories about experimental methods can be tested and the results recorded photographically. Additionally, new, non-destructive techniques such as neutron tomography have improved the evaluation of the authenticity of surviving microscopes.
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Affiliation(s)
- Lesley A Robertson
- Department of Biotechnology and Science Centre, Delft University of Technology, Van der Burghweg 1, 2628 CS, Delft, The Netherlands.
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Sanchez-Arias JC, Carrier M, Frederiksen SD, Shevtsova O, McKee C, van der Slagt E, Gonçalves de Andrade E, Nguyen HL, Young PA, Tremblay MÈ, Swayne LA. A Systematic, Open-Science Framework for Quantification of Cell-Types in Mouse Brain Sections Using Fluorescence Microscopy. Front Neuroanat 2021; 15:722443. [PMID: 34949993 PMCID: PMC8691181 DOI: 10.3389/fnana.2021.722443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 10/28/2021] [Indexed: 02/03/2023] Open
Abstract
The ever-expanding availability and evolution of microscopy tools has enabled ground-breaking discoveries in neurobiology, particularly with respect to the analysis of cell-type density and distribution. Widespread implementation of many of the elegant image processing tools available continues to be impeded by the lack of complete workflows that span from experimental design, labeling techniques, and analysis workflows, to statistical methods and data presentation. Additionally, it is important to consider open science principles (e.g., open-source software and tools, user-friendliness, simplicity, and accessibility). In the present methodological article, we provide a compendium of resources and a FIJI-ImageJ-based workflow aimed at improving the quantification of cell density in mouse brain samples using semi-automated open-science-based methods. Our proposed framework spans from principles and best practices of experimental design, histological and immunofluorescence staining, and microscopy imaging to recommendations for statistical analysis and data presentation. To validate our approach, we quantified neuronal density in the mouse barrel cortex using antibodies against pan-neuronal and interneuron markers. This framework is intended to be simple and yet flexible, such that it can be adapted to suit distinct project needs. The guidelines, tips, and proposed methodology outlined here, will support researchers of wide-ranging experience levels and areas of focus in neuroscience research.
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Affiliation(s)
| | - Micaël Carrier
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada.,Axe Neurosciences, Centre de Recherche du CHU de Québec, Université de Laval, Québec City, QC, Canada
| | | | - Olga Shevtsova
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Chloe McKee
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Emma van der Slagt
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | | | - Hai Lam Nguyen
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Penelope A Young
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Marie-Ève Tremblay
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada.,Axe Neurosciences, Centre de Recherche du CHU de Québec, Université de Laval, Québec City, QC, Canada.,Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada.,Department of Molecular Medicine, Université de Laval, Québec City, QC, Canada.,Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.,Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Leigh Anne Swayne
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada.,Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.,Department of Cellular and Physiological Sciences, University of British Columbia, Vancouver, BC, Canada.,Department of Neurology and Neurosurgery, Centre for Research in Neuroscience, Brain Repair and Integrative Neuroscience Program, Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, QC, Canada
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