Session Index

TBA

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This study developed a biosensing platform, based on lyotropic chromonic liquid crystal (LCLC), for rapid detections and real-time monitoring of bovine serum albumin, cancer biomarker CA125, and SARS-CoV-2 nucleocapsid protein. At a concentration of 28 wt.% in water, sunset yellow exhibits a distinctive liquid crystal phase. The optical and electrical responses to these protein analytes were measured. The LCLC platform achieves highly sensitive protein detection. Additionally, this platform stands out for its simplicity and cost-efficiency. As such, the LCLC-based system has the potential for clinical sensing and real-time monitoring of viruses, playing a vital role in controlling and preventing outbreaks.

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This study used non-invasive near-infrared spectroscopy (NIRS) to evaluate the microcirculation of the lower limbs in patients undergoing extracorporeal membrane oxygenation (ECMO). The clinical sequential organ failure assessment (SOFA) score was employed as an illness severity indicator. By integrating real-time blood oxygen data with support vector machine (SVM), we can effectively differentiate disease severity between Veno-Venous (VV) and Veno-Arterial (VA) ECMO patient groups. In addition, combing near-infrared spectroscopy (NIRS) with machine learning allows clinicians to make better ECMO settings and drug dosage adjustments, potentially improving patients' prognosis and outcomes.

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This study explores biodegradable and biocompatible protein materials (bovine serum albumin and lysozyme) as dielectric layers in n-type organic field-effect transistors (OFETs). The OFETs operate at low-voltage, with threshold voltages around -0.2 V, subthreshold swings of ~0.15 V/decade, and on/off current ratios > 105. Investigating sensitivity to bacteria, Escherichia coli (E. coli) of varying concentrations were introduced into OFET channels. High bacterial concentration (108 CFU/ml) significantly impacted transistor electrical properties. These findings open possibilities for protein-based OFETs in high-concentration bacteria detection and future applications.

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Inadequate lighting, in particular output with respect to output at ~480nm, has been
correlated with sleep disturbance. Dynamic white lighting in which the output of different colors
of LEDs are modulated during daylight hours to mimic the sun is a promising solution. We have
modeled and implemented a system using only 4 different LEDs to produce white light varying
in correlated color temperature (CCT), intensity, and output at 480nm.

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Image segmentation in Magnetic Resonance Imaging (MRI) plays a crucial diagnostic role. We applied Attention-UW Net networks for brain lesion segmentation in MRI images. Results shows Attention-UW Net outperforms U-Net (IoU: 0.80 vs. 0.75, precision: 0.86 vs. 0.85, recall: 0.83 vs. 0.70, F1 score: 0.80 vs. 0.81).

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We evaluated the effect of the He-Ne laser on seeds of ashwagandha and brinjal for improved agronomic traits. Healthy seeds of ashwagandha and brinjal were selected, irradiated with different laser doses, and germinated under in vitro conditions. Lasers stimulated substantial seed germination and morphological traits. The maximum germination rate, seedling length, and carotenoid content were recorded at 25 J groups. Withanolide A and chlorogenic acid content were maximum at 20 J groups compared to the control. The investigation revealed improved plant growth and bioactive metabolite production with laser bio-stimulation for cellular agriculture and industrial production.

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