Meltem Sariyer Oglago, R., Bye, A. P.
ORCID: https://orcid.org/0000-0002-2061-2253, Eryilamz, S., Jones, C. I.
ORCID: https://orcid.org/0000-0001-7537-1509 and Edwards, A. D.
ORCID: https://orcid.org/0000-0003-2369-989X
(2026)
Dark-Pi imaging system permits open-source label-free microfluidic monitoring of platelet aggregation by cellular light scattering.
Sensors, 26 (14).
4326.
ISSN 1424-8220
doi: 10.3390/s26144326
Abstract/Summary
Measuring platelet function is important for patient stratification to judge bleeding vs. thrombotic risk and for research into antiplatelet drugs to prevent cardiovascular disease. Variability in platelet function is not fully understood, and large studies of inter-individual variation are making gradual progress using laboratory measurements, but rapid and high-performance hematological tests are also needed. We present here a novel microfluidic technology for platelet function analysis that images light scatter by platelets, using a low-cost, open-source, high-throughput and customizable darkfield imaging system called Dark-Pi. The hardware consists of a camera and a simple LED light source controlled by a Raspberry Pi, with 3D-printed parts. Using the Dark-Pi, platelet aggregation was imaged within adenosine 5′-diphosphate-loaded microcapillaries, revealing clearly visible patterns. This darkfield cellular light scatter approach was previously developed for bacterial cells, and here we adapted and optimized it for directly monitoring platelet aggregation. Capturing high-quality time-resolved images of platelets undergoing activation within microcapillaries allowed us to measure changes in light scattering in platelet-rich plasma that correspond with aggregation measured using conventional laboratory methods. This novel prototype system shows that this approach may have potential for use in large-scale studies of platelet function, combining simplicity with low-cost components and using a disposable dip-and-test microfluidic format.
Altmetric Badge
Dimensions Badge
| Item Type | Article |
| URI | https://centaur.reading.ac.uk/id/eprint/130967 |
| Identification Number/DOI | 10.3390/s26144326 |
| Refereed | Yes |
| Divisions | Life Sciences > School of Biological Sciences > Biomedical Sciences |
| Publisher | MDPI |
| Download/View statistics | View download statistics for this item |
Downloads
Downloads per month over past year
University Staff: Request a correction | Centaur Editors: Update this record
Download
Download