We report a low-cost compact diffuse speckle contrast flowmeter (DSCF) consisting of a small laser diode and a bare charge-coupled-device (CCD) chip, which can be used for contact measurements of blood flow variations in relatively deep tissues (up to ∼ 8 mm). Measurements of large flow variations by the contact DSCF probe are compared to a noncontact CCD-based diffuse speckle contrast spectroscopy and a standard contact diffuse correlation spectroscopy in tissue phantoms and a human forearm. Bland–Altman analysis shows no significant bias with good limits of agreement among these measurements: 96.5%±2.2% (94.4% to 100.0%) in phantom experiments and 92.8% in the forearm test. The relatively lower limit of agreement observed in the in vivo measurements (92.8%) is likely due to heterogeneous reactive responses of blood flow in different regions/volumes of the forearm tissues measured by different probes. The low-cost compact DSCF device holds great potential to be broadly used for continuous and longitudinal monitoring of blood flow alterations in ischemic/hypoxic tissues, which are usually associated with various vascular diseases.
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http://dx.doi.org/10.1117/1.JBO.21.8.080501 | DOI Listing |
Adv Mater
January 2025
Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Direct ink writing is a 3D printing method that is compatible with a wide range of structural, elastomeric, electronic, and living materials, and it continues to expand its uses into physics, engineering, and biology laboratories. However, the large footprint, closed hardware and software ecosystems, and expense of commercial systems often hamper widespread adoption. This work introduces a compact, low-cost, multimaterial, and high-throughput direct ink writing 3D printer platform with detailed assembly files and instructions provided freely online.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China.
Prosthetic knees represent a prevalent solution for above-knee amputation rehabilitation. However, satisfying the ambulation requirements of users while achieving their comfort needs in terms of lightweight, bionic, shock-absorbing, and user-centric, remains out of reach. Soft materials seem to provide alternative solutions as their properties are conducive to the comfort aspect.
View Article and Find Full Text PDFSci Rep
December 2024
Advanced Physics Laboratory, Department of Physics, Savitribai Phule Pune University, Pune, Maharashtra, 411007, India.
The present study demonstrates the synthesis of compact ZnO layers using CdS sensitized on ZnO as a photoanode with copper sulfide (CuS) and carbon as a counter electrode (CE). In this study, a compact ZnO layer was fabricated using the simple and low-cost successive ionic layer adsorption and reaction (SILAR) method, and CuS CE films were synthesized using the chemical bath deposition method. Various characterizations, such as X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS), confirmed the formation of ZnO and CdS sensitizations on the ZnO .
View Article and Find Full Text PDFAdv Mater
December 2024
Advanced Microscopy and Instrumentation Research Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, 150080, China.
In this paper, compact terahertz (THz) metachips for hyperspectral screening and quantitative evaluation of human cancer cells is reported. This pixelated resonant metachips feature the resonance channel from 1 and 3 THz frequency with a record-high quality factor (up to 230). Through the interactions of various cancer cells of different concentrations, high-dimensional spectral signatures are obtained, which are further transformed into a spatial map for labelling and quantification purposes.
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Mechatronics Engineering, Universidad Católica Boliviana "San Pablo", La Paz 4807, Bolivia.
Computer vision-based gait recognition (CVGR) is a technology that has gained considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to-conceal nature. Beyond its applications in biometrics, CVGR holds significant potential for healthcare and human-computer interaction. Current CVGR systems often transmit collected data to a cloud server for machine learning-based gait pattern recognition.
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