Blood flow estimation via numerical integration of temporal autocorrelation function in diffuse correlation spectroscopy

Background and Objective: Diffuse correlation spectroscopy (DCS) is an optical technique widely used to monitor blood flow. Recently, efforts have been made to derive new signal processing methods to minimize the systems used and shorten the signal processing time. Herein, we propose alternative approaches to obtain blood flow information via DCS by numerically integrating the temporal autocorrelation curves. Methods: We use the following methods: the inverse of K2 (IK2)—based on the framework of diffuse speckle contrast analysis—and the inverse of the numerical integration of squared g1 (INISg1) which, based on the normalized electric field autocorrelation curve, is more simplified than IK2. In addition, g1 thresholding is introduced to further reduce computational time and make the suggested methods comparable to the conventional nonlinear fitting approach. To validate the feasibility of the suggested methods, studies using simulation, liquid phantom, and in vivo settings were performed. In the meantime, the suggested methods were implemented and tested on three types of Arduino (Arduino Due, Arduino Nano 33 BLE Sense, and Portenta H7) to demonstrate the possibility of miniaturizing the DCS systems using microcotrollers for signal processing. Results: The simulation and experimental results confirm that both IK2 and INISg1 are sufficiently relevant to capture the changes in blood flow information. More interestingly, when g1 thresholding was applied, our results showed that INISg1 outperformed IK2. It was further confirmed that INISg1 with g1 thresholding implemented on a PC and Portenta H7, an advanced Arduino board, performed faster than did the deep learning-based, state-of-the-art processing method. Conclusion: Our findings strongly indicate that INISg1 with g1 thresholding could be an alternative approach to derive relative blood flow information via DCS, which may contribute to the simplification of DCS methodologies. © 2022 The Authors. Published by Elsevier B.V.TRU

Use of Hypoxic Respiratory Challenge for Differentiating Alzheimer’s Disease and Wild-Type Mice Non-Invasively: A Diffuse Optical Spectroscopy Study

Alzheimer’s disease is one of the most critical brain diseases. The prevalence of the disease keeps rising due to increasing life spans. This study aims to examine the use of hemodynamic signals during hypoxic respiratory challenge for the differentiation of Alzheimer’s disease (AD) and wild-type (WT) mice. Diffuse optical spectroscopy, an optical system that can non-invasively monitor transient changes in deoxygenated (ΔRHb) and oxygenated (ΔOHb) hemoglobin concentrations, was used to monitor hemodynamic reactivity during hypoxic respiratory challenges in an animal model. From the acquired signals, 13 hemodynamic features were extracted from each of ΔRHb and −ΔOHb (26 features total) for more in-depth analyses of the differences between AD and WT. The hemodynamic features were statistically analyzed and tested to explore the possibility of using machine learning (ML) to differentiate AD and WT. Among the twenty-six features, two features of ΔRHb and one feature of −ΔOHb showed statistically significant differences between AD and WT. Among ML techniques, a naive Bayes algorithm achieved the best accuracy of 84.3% when whole hemodynamic features were used for differentiation. While further works are required to improve the approach, the suggested approach has the potential to be an alternative method for the differentiation of AD and WT

Salternamides A-D from a Halophilic Streptomyces sp. Actinobacterium

Salternamides A-D (1-4), the first secondary metabolites discovered from saltern-derived actinomycetes, were isolated from a halophilic Streptomyces strain isolated from a saltern on Shinui Island in the Republic of Korea. The planar structures of the salternamides, which are new members of the manumycin family, were elucidated by a combination of spectroscopic analyses. The absolute configurations of the salternamides were determined by chemical and spectroscopic methods, including the modified Moshers method, J-based configuration analysis, and circular dichroism spectroscopy. Salternamide A (1), which is the first chlorinated compound in the manumycin family, exhibited potent cytotoxicity against a human colon cancer cell line (HCT116) and a gastric cancer cell line (SNU638) with submicromolar IC50 values. Salternamides A and D were also determined to be weak Na+/K+ ATPase inhibitors.N

Separacenes A-D, Novel Polyene Polyols from the Marine Actinomycete, Streptomyces sp.

Separacenes A-D (1-4), novel polyene polyols, were isolated from Streptomyces sp. collected from the southern area of Jeju Island, Korea. The chemical structures of 1-4 were established by NMR, mass, UV, and IR spectroscopy as well as the modified Mosher's method. Separacenes A-B (1-2), which share an identical planar structure but possess different relative configurations, bear tetraene units flanked by two diol moieties, whereas the stereoisomeric separacenes C-D (3-4) possess a triene moiety between two diol substructures. Separacenes A-D each contain a terminal olefinic methylene. Separacene A displayed inhibitory activity against Candida albicans isocitrate lyase and weak cytotoxicity against both the colon carcinoma cell line HCT-116 and the lung cancer cell line A549.Y

Biocompatible Wax-Based Microcapsules with Hermetic Sealing for Thermally Triggered Release of Actives

We present a microfluidic approach that utilizes temperature-responsive and biocompatible palm oil as the shell material in microcapsules to simultaneously achieve hermetic sealing as well as on-demand temperature-triggered release of the encapsulated actives. Unlike common paraffin waxes (e.g., eicosane), microcapsule shells comprising palm oil do not form pores or cracks during freezing and provide a hermetic seal, a nearly perfect seal that separates the core containing the actives from the surrounding environment over a prolonged period of time. This allows effective isolation and protection of complex cargoes such as small molecules with high diffusivity, strong acids, and cosmetic actives including niacinamide. Moreover, the palm oil shell melts above the defined melting temperature, allowing the on-demand release of the encapsulated actives. Furthermore, palm oil is biocompatible, is edible, and leaves a minimal footprint when used in personal care and cosmetic products, offering new perspectives in the design of microcapsules for cosmetic applications.11Nsciescopu

Separacenes A–D, Novel Polyene Polyols from the Marine Actinomycete, Streptomyces sp.

Separacenes A–D (1–4), novel polyene polyols, were isolated from Streptomyces sp. collected from the southern area of Jeju Island, Korea. The chemical structures of 1–4 were established by NMR, mass, UV, and IR spectroscopy as well as the modified Mosher’s method. Separacenes A–B (1–2), which share an identical planar structure but possess different relative configurations, bear tetraene units flanked by two diol moieties, whereas the stereoisomeric separacenes C–D (3–4) possess a triene moiety between two diol substructures. Separacenes A–D each contain a terminal olefinic methylene. Separacene A displayed inhibitory activity against Candida albicans isocitrate lyase and weak cytotoxicity against both the colon carcinoma cell line HCT-116 and the lung cancer cell line A549

Dimension-fusion-type plasmonic structures for utilizing versatile surface plasmon resonance in organic optoelectronic devices

Use of surface plasmons induced by plasmonic structures is a viable way for improving the performance of optoelectronic devices. Here, by employing block-copolymer lithography and nano-imprinting lithography, we demonstrate a highly effective multiple pattern of metal electrodes for organic photovoltaics, organic photodiodes and organic phototransistors. The surface plasmon effects of metal electrodes allow significant additional light absorption compared with metal electrodes without the multiple patterns, leading to remarkable enhancements in the performances

A Compact Self-Capacitance Sensing Analog Front-End for a Touch Detection in Low-Power Mode

A novel self-capacitance transition sensing method is presented for low-power touch detection using a capacitive touch-screen. While maintaining a voltage level, an additional electric charge is additionally required when a touch-input is newly added; the amount of charge is used for detection. Accordingly, the proposed current mirroring voltage-level regulation (CM-VLR) circuit senses the transition of self-capacitance of the touch-screen and detects motions of the touch-object. Only one CM-VLR cell is used to scan the entire touch-screen. Thus low-power readout and high integrated-circuit area efficiency are achieved. Moreover, the proposed self-capacitance sensing method does not require an offset-calibration step through a charge-sharing-based voltage generation and the offset-coverage capacitor. Fabricated in a 180-nm CMOS process, and the CM-VLR cell occupies 0.12 mm(2). At a 120-Hz report rate, the proposed analog front-end (AFE) detects touch-input at a 32-dB SNR while dissipating 2.1 mW.N