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We demonstrate a smart laser-diffraction analysis technique for particle mixture identification. We retrieve information about the size, geometry, and ratio concentration of two-component heterogeneous particle mixtures with an efficiency…

Image and Video Processing · Electrical Eng. & Systems 2022-02-03 Arturo Villegas , Mario A. Quiroz-Juarez , Alfred U'Ren , Juan P. Torres , Roberto de J. Leon-Montiel

Image processing and pattern recognition offer a useful and versatile method for optically characterizing drops of a colloidal solution during the drying process and in its final state. This paper exploits image processing techniques…

Soft Condensed Matter · Physics 2020-02-11 Anusuya Pal , Amalesh Gope , Germano S. Iannacchione

Optoplasmonic methods capable of single protein detection so far rely on analyte immobilization in order to facilitate detection [1-6]. These detection schemes, even if they facilitate transient single-molecule detection [7,8] via…

Optics · Physics 2022-01-21 M. D. Baaske , N. Asgari , D. Punj , M. Orrit

X-ray phase-contrast imaging can provide greatly improved contrast over conventional absorption-based imaging for weakly absorbing samples, such as biological soft tissues and fibre composites. In this manuscript, we introduce an easy and…

Software Engineering · Computer Science 2015-04-21 Shenghao Wang , Huajie Han , Kun Gao , Zhili Wang , Can Zhang , Meng Yang , Zhao Wu , Augusto Marcelli , Ziyu Wu

Analysis of nanoscale liquids, including wetting and flow phenomena, is a scientific challenge with far reaching implications for industrial technologies. We report the conception, development, and application of an integrated platform for…

Instrumentation and Detectors · Physics 2017-11-27 M. Engel , P. W. Bryant , R. F. Neumann , R. Giro , C. Feger , P. Avouris , M. Steiner

Autonomous synthesis and characterization of inorganic materials requires the automatic and accurate analysis of X-ray diffraction spectra. For this task, we designed a probabilistic deep learning algorithm to identify complex multi-phase…

Materials Science · Physics 2021-05-27 Nathan J. Szymanski , Christopher J. Bartel , Yan Zeng , Qingsong Tu , Gerbrand Ceder

Spatial control of wettability is key to many applications of microfluidic devices, ranging from double emulsion generation to localized cell adhesion. A number of techniques, often based on masking, have been developed to produce…

Protein structure prediction based on Hydrophobic-Polar energy model essentially becomes searching for a conformation having a compact hydrophobic core at the center. The hydrophobic core minimizes the interaction energy between the amino…

Computational Engineering, Finance, and Science · Computer Science 2013-11-01 Swakkhar Shatabda , M. A. Hakim Newton , Duc Nghia Pham , Abdul Sattar

Imaging single proteins has been a long-standing ambition for advancing various fields in natural science, as for instance structural biology, biophysics and molecular nanotechnology. In particular, revealing the distinct conformations of…

Microscale hydrogels comprised of macromolecular networks have increasingly been used for applications involving cell encapsulation, tissue engineering and for the storage and release of active cargo molecules. However, the majority of such…

Biological Physics · Physics 2025-01-07 Ngoc-Duy Dinh , Marc Rodriguez-Garcia , Zenon Toprakcioglu , Yi Shen , Tuomas Knowles

A new homogenization approach for the simulation of multi-phase flows in heterogeneous porous media is presented. It is based on the lattice Boltzmann method and combines the grayscale with the multi-component Shan-Chen method. Thus, it…

Tuning the local film stress (and associated strain) provides a universal route towards exerting dynamic control on propagating fields in nanoscale geometries, and engineering controlled interactions between them. The majority of existing…

Applied Physics · Physics 2025-09-01 Di Chen , Natasa Vasiljevic , Andrei Sarua , Martin Kuball , Krishna C. Balram

The folding dynamics of proteins at the single molecule level has been studied with single-molecule force spectroscopy (SMFS) experiments for twenty years, but a common standardized method for the analysis of the collected data and for the…

Biomolecules · Quantitative Biology 2018-09-28 Nicola Galvanetto , Andrea Perissinotto , Andrea Pedroni , Vincent Torre

Proteomic matrix-assisted laser desorption/ionisation (MALDI) linear time-of-flight (TOF) mass spectrometry (MS) may be used to produce protein profiles from biological samples with the aim of discovering biomarkers for disease. However,…

Quantitative Methods · Quantitative Biology 2016-03-24 Tyman E. Stanford , Christopher J. Bagley , Patty J. Solomon

Self-aeration is a fascinating phenomenon that commonly occurs in high Froude-number flows in natural or human made environments. The most common air-water flow measurement instrument to characterize such flows is the intrusive dual-tip…

Fluid Dynamics · Physics 2024-08-19 Matthias Kramer

Differential optical absorption spectroscopy (DOAS) is a powerful tool for detecting and quantifying trace gases in atmospheric chemistry \cite{Platt_Stutz08}. DOAS spectra consist of a linear combination of complex multi-peak multi-scale…

Numerical Analysis · Mathematics 2011-09-30 Y. Sun , L. M. Wingen , B. J. Finlayson-Pitts , J. Xin

Reliable hardware connectivity is vital in heterogeneous integrated systems. For example, in digital microfluidics lab-on-a-chip systems, there are hundreds of physical connections required between a micro-electro-mechanical fabricated…

Systems and Control · Electrical Eng. & Systems 2020-04-15 Chunjie Zhang , Yang Su , Siyi Hu , Kai Jin , Yuhan Jie , Wenshi Li , Arokia Nathan , Hanbin Ma

Two-dimensional gel electrophoresis has been instrumental in the birth and developments of proteomics, although it is no longer the exclusive separation tool used in the field of proteomics. In this review, a historical perspective is made,…

Genomics · Quantitative Biology 2010-08-17 Thierry Rabilloud , Mireille Chevallet , Sylvie Luche , Cécile Lelong

We introduce the polymer analysis and discovery array (PANDA), an automated system for high-throughput electrodeposition and functional characterization of polymer films. The PANDA is a custom, modular, and low-cost system based on a CNC…

Metaproteomics are becoming widely used in microbiome research for gaining insights into the functional state of the microbial community. Current metaproteomics studies are generally based on high-throughput tandem mass spectrometry (MS/MS)…

Quantitative Methods · Quantitative Biology 2020-09-24 Xuan Guo , Shichao Feng