Optical Sectioning for Reflection Interference Microscopy: Quantitative Imaging at Soft Interfaces

Reflection interference contrast microscopy (RICM, also known as interference reflection microscopy) and related techniques have become of wide interest to the biophysical, soft matter, and biochemistry communities owing to their exquisite sensitivity for characterizing thin films or individual nanoscopic objects adsorbed onto surfaces, or for monitoring cell-substrate interactions. Over the recent years, striking progress has been made to improve the sensitivity and the quantitative analysis of RICM. Its use in more complex environments, with spurious reflections stemming from a variety of structures in the sample, remains however challenging. In this paper, we demonstrate two optical sectioning methods that effectively reduce such background and can be readily implemented in a conventional RICM setup: line confocal detection and structured illumination microscopy. We characterize experimentally the benefits to image quality and demonstrate the use of the methods for quantitative imaging of complex biological and biomimetic samples: cellular membranes, thin organic films, biofunctional surfaces. We then discuss the benefits of each method and provide guidelines to arbitrate between sectioning and signal-to-noise ratio. Finally, we provide a detailed description of our experimental setup and a home-written image acquisition and processing software that should allow the interested reader to duplicate such a setup on a home-built or commercial microscope.

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Publication Details

Journal
Langmuir
Published
2025-04-14
DOI
https://doi.org/10.1021/acs.langmuir.5c00852
Citations
1
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
1.63

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article

Optical Sectioning for Reflection Interference Microscopy: Quantitative Imaging at Soft Interfaces

Laurent Heux, Cathie Ventalon, Yan Chastagnier, Ralf P. Richter et al.
1 citations
Langmuir
Advanced Fluorescence Microscopy Techniques
1.63
article

Optical Sectioning for Reflection Interference Microscopy: Quantitative Imaging at Soft Interfaces

Laurent Heux, Cathie Ventalon, Yan Chastagnier, Ralf P. Richter, Lionel Bureau, Delphine Débarre, Oksana Kirichuk, Yotam Navon
article en
1 citations

Abstract

Reflection interference contrast microscopy (RICM, also known as interference reflection microscopy) and related techniques have become of wide interest to the biophysical, soft matter, and biochemistry communities owing to their exquisite sensitivity for characterizing thin films or individual nanoscopic objects adsorbed onto surfaces, or for monitoring cell-substrate interactions. Over the recent years, striking progress has been made to improve the sensitivity and the quantitative analysis of RICM. Its use in more complex environments, with spurious reflections stemming from a variety of structures in the sample, remains however challenging. In this paper, we demonstrate two optical sectioning methods that effectively reduce such background and can be readily implemented in a conventional RICM setup: line confocal detection and structured illumination microscopy. We characterize experimentally the benefits to image quality and demonstrate the use of the methods for quantitative imaging of complex biological and biomimetic samples: cellular membranes, thin organic films, biofunctional surfaces. We then discuss the benefits of each method and provide guidelines to arbitrate between sectioning and signal-to-noise ratio. Finally, we provide a detailed description of our experimental setup and a home-written image acquisition and processing software that should allow the interested reader to duplicate such a setup on a home-built or commercial microscope.

LangmuirVol. 41(15)
Centre National de la Recherche Scientifique (FR), University of Leeds (GB), Inserm (FR), Université de Montpellier (FR), Université Paris Sciences et Lettres (FR), Physical Sciences (United States) (US), Laboratoire Interdisciplinaire de Physique (FR), Institut de Biologie de l'École Normale Supérieure (FR), Université Grenoble Alpes (FR)
Université Grenoble Alpes, Agence Nationale de la Recherche, Centre National de la Recherche Scientifique, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 15%
Advanced Fluorescence Microscopy Techniques
1.63
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