There is a critical need for high-speed multiparameter photophysical measurements of large libraries of fluorescent probe variants for imaging and biosensor development. We present a microfluidic flow cytometer that rapidly assays 10(4)-10(5) member cell-based fluorophore libraries, simultaneously measuring fluorescence lifetime and photobleaching. Together, these photophysical characteristics determine imaging performance. We demonstrate the ability to resolve the diverse photophysical characteristics of different library types and the ability to identify rare populations.
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http://dx.doi.org/10.1021/acs.analchem.5b00607 | DOI Listing |
This study presents a proof-of-concept demonstration of a demodulation technique using a seven-core fiber (SCF) and machine learning (ML) algorithms for multimode fiber (MMF)-based tactile sensing. By condensing high-resolution images into vectors of seven power values from the cores of the MMF, dataset size is significantly reduced compared to conventional specklegram sensors, mitigating post-processing workload. This downsampling approach, akin to machine learning pooling layers, boosts computational efficiency without compromising accuracy.
View Article and Find Full Text PDFJ Biomed Opt
July 2024
University of Birmingham, School of Computer Science, Medical Imaging Lab, Birmingham, United Kingdom.
Significance: Frequency-domain diffuse optical tomography (FD-DOT) could enhance clinical breast tumor characterization. However, conventional diffuse optical tomography (DOT) image reconstruction algorithms require case-by-case expert tuning and are too computationally intensive to provide feedback during a scan. Deep learning (DL) algorithms front-load computational and tuning costs, enabling high-speed, high-fidelity FD-DOT.
View Article and Find Full Text PDFACS Omega
May 2024
College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, 710054 Shaanxi, P. R. China.
Coal seam spontaneous combustion fire is not only one of the main forms of the five major mine disasters, but also the main cause of secondary disasters such as mine gas and coal dust explosions. In recent years, with the advancement of mechanization, automation, and intelligent mine construction, spontaneous coal fires in mines have presented a series of new characteristics, and the prevention and control of spontaneous coal fires are also facing new challenges. On the basis of literature research, this paper summarizes and discusses the basic theory of coal spontaneous combustion, monitoring and early warning methods, and prevention and control technology, summarizes the development process of coal spontaneous combustion theory, reviews the research progress of coal spontaneous combustion monitoring and early warning methods and prevention and control technologies, and discusses the future development direction.
View Article and Find Full Text PDFNat Commun
June 2023
Fert Beijing Institute, MIIT Key Laboratory of Spintronics, School of Integrated Circuit Science and Engineering, Beihang University, Beijing, 100191, China.
Physical reservoirs holding intrinsic nonlinearity, high dimensionality, and memory effects have attracted considerable interest regarding solving complex tasks efficiently. Particularly, spintronic and strain-mediated electronic physical reservoirs are appealing due to their high speed, multi-parameter fusion and low power consumption. Here, we experimentally realize a skyrmion-enhanced strain-mediated physical reservoir in a multiferroic heterostructure of Pt/Co/Gd multilayers on (001)-oriented 0.
View Article and Find Full Text PDFJ Vis Exp
December 2022
Graduate Program in Bioengineering, University of California, Berkeley and University of California, San Francisco; Department of Mechanical Engineering, University of California, Berkeley;
Cellular mechanical properties are involved in a wide variety of biological processes and diseases, ranging from stem cell differentiation to cancer metastasis. Conventional methods for measuring these properties, such as atomic force microscopy (AFM) and micropipette aspiration (MA), capture rich information, reflecting a cell's full viscoelastic response; however, these methods are limited by very low throughput. High-throughput approaches, such as real-time deformability cytometry (RT-DC), can only measure limited mechanical information, as they are often restricted to single-parameter readouts that only reflect a cell's elastic properties.
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