Open-source 3D active sample stabilization for fluorescence microscopy

Super-resolution microscopy has enabled imaging at nanometer-scale resolution. However, achieving this level of detail without introducing artifacts that could mislead data interpretation requires maintaining sample stability throughout the entire imaging acquisition. This process can range from a few seconds to several hours, particularly when combining live-cell imaging with super-resolution techniques. Here, we present a three-dimensional active sample stabilization system based on real-time tracking of fiducial markers. To ensure broad accessibility, the system is designed using readily available off-the-shelf optical and photonic components. Additionally, the accompanying software is open source and written in Python, facilitating adoption and customization by the community. We achieve a standard deviation of the sample movement within 1 nm in both the lateral and axial directions for a duration in the range of hours. Our approach allows easy integration into existing microscopes, not only making prolonged super-resolution microscopy more accessible but also allowing confocal and widefield live-cell imaging experiments spanning hours or even days.

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Publication Details

Journal
Biophysical Reports
Published
2025-04-18
DOI
https://doi.org/10.1016/j.bpr.2025.100208
Citations
1
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
1.25
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article

Open-source 3D active sample stabilization for fluorescence microscopy

Eli Slenders, Giuseppe Vicidomini, Sanket Patil
1 citations
Biophysical Reports
Digital Holography and Microscopy
1.25
article

Open-source 3D active sample stabilization for fluorescence microscopy

Eli Slenders, Giuseppe Vicidomini, Sanket Patil
article en
1 citations

Abstract

Super-resolution microscopy has enabled imaging at nanometer-scale resolution. However, achieving this level of detail without introducing artifacts that could mislead data interpretation requires maintaining sample stability throughout the entire imaging acquisition. This process can range from a few seconds to several hours, particularly when combining live-cell imaging with super-resolution techniques. Here, we present a three-dimensional active sample stabilization system based on real-time tracking of fiducial markers. To ensure broad accessibility, the system is designed using readily available off-the-shelf optical and photonic components. Additionally, the accompanying software is open source and written in Python, facilitating adoption and customization by the community. We achieve a standard deviation of the sample movement within 1 nm in both the lateral and axial directions for a duration in the range of hours. Our approach allows easy integration into existing microscopes, not only making prolonged super-resolution microscopy more accessible but also allowing confocal and widefield live-cell imaging experiments spanning hours or even days.

Biophysical ReportsVol. 5(2)
Italian Institute of Technology (IT)
Affordable and clean energy
Openalex Percentile: Top 22%
Digital Holography and Microscopy
1.25
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Open-source 3D active sample stabilization for fluorescence microscopy — Eli Slenders, Giuseppe Vicidomini, et al. · Biophysical Reports (2025) | TGRS Research Map | TGRS