Prof. Hang Li Profile

Prof. Hang Li

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Proceedings Article | 27 November 2023 Poster + Paper

Functional platelet aggregation analysis using digital optofluidic scattering quantitation

Shan Qin, Rongxin Fu, Fan Yang, Weibo Gao, Jialu Hou, Hang Li, Shuailong Zhang

Proceedings Volume 12770, 127701K (2023) https://doi.org/10.1117/12.2685606

KEYWORDS: Image processing, Diseases and disorders, Optofluidics, Plasma

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Platelet aggregation rate is a crucial indicator for platelet function testing in clinical practice. Currently, the most common method for detecting platelet aggregation rate is by using a platelet aggregation analyzer to detect platelet-rich plasma or washed platelets. This method works based on the principle of light transmittance ratio, which measures the difference of the light transmittance before and after the reaction between the sample and the inducer to represent the aggregation rate of the sample. Although this method only requires a few minutes to complete after the sample is collected and processed, it requires a large sample volume. Moreover, it cannot accurately detect samples with low aggregation rate and chyle blood due to the slight difference in light transmittance before and after the reaction, which poses significant challenges for doctors in the clinical diagnosis and treatment determination for platelet aggregation dysfunction. To overcome this limitation, we propose a novel method for assessing platelet aggregation rate by leveraging the capabilities of digital microfluidics for automated precision manipulation of minute liquid droplets.

Proceedings Article | 27 November 2023 Poster + Paper

Label-free recombinase polymerase amplification with hyperspectral digital optofluidics

Tianqi Zhou, Xiangyu Jin, Fan Yang, Shan Qin, Fenggang Li, Shuailong Zhang, Hang Li, Rongxin Fu

Proceedings Volume 12770, 127701G (2023) https://doi.org/10.1117/12.2684913

KEYWORDS: Nucleic acids, Microfluidics, Molecules

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Nucleic acid detection techniques have played a crucial role in identifying specific genetic indicators or species, with Polymerase Chain Reaction (PCR) being the established gold standard in this field. However, PCR's dependence on specialized equipment and skilled personnel has limited its utility in resource-limited or field settings, and its multitemperature stage protocol hinders rapid nucleic acid detection. The emergence of isothermal amplification methods, particularly recombinase polymerase amplification (RPA), has addressed some of these limitations, offering high sensitivity and efficiency. Nevertheless, the challenge of RPA amplicon detection, typically reliant on labeling methods, has persisted, potentially introducing false positives and increased costs. This study introduces an innovative approach to nucleic acid detection, harnessing hyperspectral quantitative interference for label-free, isothermal nucleic acid detection within a remarkably short 25-minute timeframe. By employing a solid-phase RPA amplification process that transforms the product into a DNA molecule layer and leveraging Fourier domain optical slice separation and spectral phase shift analysis, this method enables the semi-quantitative determination of amplification results. The integration of digital microfluidic technology further enhances the method's performance, enabling parallel, integrated, and clinical multi-indicator pathogen detection. Overall, this research presents a practical and rapid solution for label-free nucleic acid detection, addressing the current limitations associated with nucleic acid amplification techniques. This advancement holds promise for a wide range of applications, from point-of-care diagnostics to field-based pathogen detection, ultimately contributing to more accessible and efficient nucleic acid testing methodologies.

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