University of Pretoria
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LCVD: Low-cost cell-extract viral diagnostics

dataset
posted on 2021-07-15, 15:14 authored by Suzanne SmithSuzanne Smith, Trudi Joubert, Kevin Land
The datasets contain measurements performed using a configurable colorimetric readout set-up for automated readout from lateral flow test strips.<div>The readout set-up consists of a 3D-printed enclosure device with detector module electronics contained inside, along with a mechanism into which a lateral flow test strip can be inserted. The set-up can be adjusted in x, y and z directions to allow for accurate positioning, alignment and optimization of measurements performed on both model and real lateral flow test strips. Lateral flow test strips can be analysed both without a cartridge housing or within a cartridge housing. The dataset contains the raw measurements and results of the data obtained from the generic test set-up for various configurations of test set-up and the lateral flow test strips analysed. This dataset encompasses various datasets and results obtained during my PhD entitled: Wireless colorimetric readout for resource-limited point-of-care.</div><div>The work details a hybrid printed and packaged low-cost wireless color detector device. By combining the growing fields of paper-based diagnostics and printed electronics with Southern African clinic perspectives, a scalable, low cost, paper-based solution for result readout and communication was developed.<div>Printed radio frequency identification devices with sensing capabilities were manufactured onto different low-cost and paper-based substrates to assess the practical</div><div>functionality of these devices. Extensive images and results pertaining to this are included in this dataset.</div><div>This work was further extended to target colour detection from lateral flow test strip devices and other typical paper-based rapid test formats. The results were compared</div><div>to those obtained from manual readout using colour charts, a commercial lateral flow test strip reader and image analysis using ImageJ.</div></div>

Funding

LCVD: Low-cost Cell-extract Viral Diagnostics

UK Research and Innovation

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History

Department/Unit/School/Center

Electrical, Electronic and Computer Engineering, Microelectronics group