Projects per year
Abstract
The effective detection of very low abundant biomarkers can enable fast diagnosis of many severe and disabling diseases (e.g. Alzheimer’s Disease) at an early stage. To develop a cost-efficient, super-sensitive optical fluorescence detection microscope, we have proposed an optical modelling approach to predict the signal-noise-ratio that considers various noise sources introduced by the components of the detection system. After the optimal design is identified, a tolerance analysis regarding typical perturbations is performed for further mechanical design and assembly. Finally, experiments have demonstrated a limit of detection at a low abundant concentration reaching 0.05 pmol/ml.
Original language | English |
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Title of host publication | Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V |
Editors | Pietro Ferraro, Simonetta Grilli, Monika Ritsch-Marte, Christoph K. Hitzenberger |
Publisher | International Society for Optics and Photonics SPIE |
ISBN (Electronic) | 978-1-5106-4406-9 |
DOIs | |
Publication status | Published - 20 Jun 2021 |
MoE publication type | A4 Article in a conference publication |
Event | Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V 2021 - Virtual, Online, Germany Duration: 21 Jun 2021 → 25 Jun 2021 |
Publication series
Series | Proceedings of SPIE |
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Volume | 11786 |
ISSN | 0277-786X |
Conference
Conference | Optical Methods for Inspection, Characterization, and Imaging of Biomaterials V 2021 |
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Country/Territory | Germany |
City | Virtual, Online |
Period | 21/06/21 → 25/06/21 |
Keywords
- Alzheimer's disease
- Confocal scanning
- Fluorescence microscopy
- Laser induced fluorescence
- Optical design
- Optical scatter modelling
- Tolerance analysis
Fingerprint
Dive into the research topics of 'Optical design and development of a cost-efficient, compact, super-sensitive scanning confocal fluorescence microscope'. Together they form a unique fingerprint.Projects
- 1 Finished
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SensApp: Super-sensitive detection of Alzheimer’s disease biomarkers in plasma by an innovative droplet split-and-stack approach
Uusitalo, S., Sipola, T., Vasama, H., Pennala, R., Sumen, J., Kokkonen, A., Päkkilä, I., Pohjonen, S. & Aikio, S.
1/01/19 → 30/06/22
Project: EU project