Projects per year
Abstract
Homogeneous illumination in single-molecule localization microscopy (SMLM) is key for the quantitative analysis of super-resolution images. Therefore, different approaches for flat-field illumination have been introduced as alternative to the conventional Gaussian illumination. Here, we introduce a single microelectromechanical systems (MEMS) mirror as a tunable and cost-effective device for adapting wide-field illumination in SMLM. In flat-field mode the MEMS allowed for consistent SMLM metrics across the entire field of view. Employing single-molecule photoswitching, we developed a simple yet powerful routine to benchmark different illumination schemes on the basis of local emitter brightness and ON-state lifetime. Moreover, we propose that tuning the MEMS beyond optimal flat-field conditions enables to study the kinetics of photoswitchable fluorophores within a single acquisition.
Original language | English |
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Pages (from-to) | 2728–2736 |
Number of pages | 9 |
Journal | ACS Photonics |
Volume | 8 |
Issue number | 9 |
Early online date | 25 Aug 2021 |
DOIs | |
Publication status | Published - 15 Sept 2021 |
Keywords
- super-resolution microscopy
- dSTORM
- tuneable flat-field illumination
- MEMS micromirror
- photoswitching
- quantitative microscopy
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Dive into the research topics of 'Tunable wide-field illumination and single-molecule photoswitching with a single MEMS mirror'. Together they form a unique fingerprint.Projects
- 4 Finished
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Tuneable photoswitches for chromatic aberration-free multicolour super-resolution imaging
Van de Linde, S.
1/03/18 → 31/05/21
Project: Research
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Doctoral Training Partnership (DTP 2016-2017 University of Strathclyde) | Herdly, Lucas
Van de Linde, S., McConnell, G. & Herdly, L.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/17 → 1/02/22
Project: Research Studentship - Internally Allocated
Datasets
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Data for: “Tuneable wide-field illumination and single-molecule photoswitching with a single MEMS mirror”
Herdly, L. (Creator), JANIN, P. (Contributor), Bauer, R. (Supervisor) & Van de Linde, S. (Supervisor), University of Strathclyde, 16 Aug 2021
DOI: 10.15129/4bbe9c0a-270d-4637-9d88-060c77e91233
Dataset