Viscosity measurement is critical in the fields of biomedicine and industry. Here, we propose a method based on optical coherence tomography (OCT) to quantitatively assess the Doppler viscosity of the liquid in microfluidic devices. The velocity of the liquid in a silicone tube was obtained by Doppler optical coherence tomography (DOCT), by analysing the phase change between sequential B-Scan. Two manometers were used to measure the real-time pressure difference between the inlet and outlet of the silicone tube. Finally, the viscosity of the flow sample was calculated according to Poiseuille’s law. Different viscous liquids and blood samples were tested, and the results were consistent with data reported in the literature. Experimental results indicated that the proposed method can be a new tool for non-contact and fast liquid viscosity measurement and even be engineered in the future for daily monitoring of blood viscosity with only a small amount of blood.
Accurate measurements of the algal cell concentration are essential in microalgae culturing and ecological monitoring. Here, we propose a method based on optical coherence tomography (OCT) to assess green algae concentrations quantitatively and measure the depth distribution of green algae cells. The amplitude information of the complex OCT sequence was extracted to calculate the scattering coefficient. The results show that the scattering coefficient can be used to evaluate different concentrations of green algae suspensions by frequency statistics under non-contact conditions, and the scattering coefficient images can provide the depth distribution of green algae cells. This method provides an in situ, accurate and non-invasive tool for monitoring the growth of green algae and can effectively reflect the health status of water bodies.
Coagulation tests are essential for diagnosis of blood disorders and treatment of cardiovascular diseases. Here, we developed a noncontact method for quantitative assessment of coagulation properties based on blood diffusion dynamics analysis using optical coherence tomography (OCT). After a blood sample was loaded into a centrifuge tube, an OCT Mscan was captured at a single lateral location. Then the amplitude components of the complex OCT sequences were extracted for autocorrelation analysis. The length of the OCT sequence was optimized for the autocorrelation calculation. The blood dynamics related to scattering particle diffusion were evaluated by the autocorrelation decay over the time delay. The results show that the OCT autocorrelation analysis can quantitatively assess the blood coagulation properties without contact. Therefore, it could be used for in situ monitoring and point-of-care testing of blood coagulation with high reliability.
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