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Related papers: LC/ESI-MS analysis of underivatized amino acids an…

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Laser Ablation Electrospray Ionization is a recent development in mass spectrometry imaging. It has been shown that lipids and small metabolites can be imaged in various samples such as plant material, tissue sections or bacterial colonies…

Biological Physics · Physics 2013-09-05 András Kiss , Donald F. Smith , Brent R. Reschke , Matthew J. Powell , Ron M. A. Heeren

Electrospray tandem mass spectrometry (ESI-MS/MS) is commonly used in high throughput metabolomics. One of the key obstacles to the effective use of this technology is the difficulty in interpreting measured spectra to accurately and…

Computational Engineering, Finance, and Science · Computer Science 2014-06-10 F. Allen , R. Greiner , D. Wishart

Two-dimensional partial covariance mass spectrometry (2D-PC-MS) exploits the inherent fluctuations of fragment ion abundances across a series of tandem mass spectra, to identify correlated pairs of fragment ions produced along the same…

Liquid Chromatography coupled to Mass Spectrometry (LC-MS) based methods are commonly used for high-throughput, quantitative measurements of the proteome (i.e. the set of all proteins in a sample at a given time). Targeted LC-MS produces…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Leon L. Xu , Hannes L. Röst

The coupling of an electron monochromator (EM) to a mass spectrometer (MS) has created a new analytical technique, EM-MS, for the investigation of electrophilic compounds. This method provides a powerful tool for molecular identification of…

Current approaches to Mass Spectrometry (MS) require ionization of the analytes of interest. For high-mass species, the resulting charge state distribution can be complex and difficult to interpret correctly. In this article, using a setup…

Mass spectrometry (MS) is used widely in biomolecular structural analysis and is particularly dominant in the study of proteins. Despite its considerable power, state-of-the-art protein MS frequently suffers from limited reliability of…

Mass spectrometry of intact nanoparticles and viruses can serve as a potent characterization tool for material science and biophysics. Inaccessible by widespread commercial techniques, the mass of single nanoparticles and viruses (>10MDa)…

Aberration-corrected environmental transmission electron microscopy (ETEM) enables atomic-resolution imaging of dynamic catalytic processes. Correlating atomic-scale structural changes with reaction products detected by mass spectrometry…

Electrochemical Impedance Spectroscopy (EIS) and Equivalent Circuit Models (ECMs) are widely used to characterize the impedance and estimate parameters of electrochemical systems such as batteries. We use a generic ECM with ten parameters…

Systems and Control · Electrical Eng. & Systems 2024-03-18 Vladimir Sovljanski , Mario Paolone

The following article presents a multi-length-scale characterization approach for investigating doping chemistry and spatial distributions within semiconductors, as demonstrated using a state-of-the-art CMOS image sensor. With an intricate…

Isotope labeling is a fundamental staple for the study of cellular metabolism and protein function. The conventional techniques that allow resolution and identification of isotopically-labeled biomarkers, such as mass spectrometry and…

This study reports the development of a pattern recognition search engine for a World Wide Web-based database of gas chromatography-electron impact mass spectra (GC-EIMS) of partially methylated Alditol Acetates (PMAAs). Here, we also…

Signal Processing · Electrical Eng. & Systems 2020-08-06 Faramarz Valafar , Homayoun Valafar

Nonintrusive measurements of plasma properties are essential to evaluate, and numerically simulate, the in-flight performance of electric propulsion systems. As a logical first step in the development of new diagnostic techniques, this work…

Plasma Physics · Physics 2023-04-05 Adam R. Patel , Sashin L. B. Karunarathne , Nicholas Babusis , Alexey Shashurin

Classification and identification of amino acids in aqueous solutions is important in the study of biomacromolecules. Laser Induced Breakdown Spectroscopy (LIBS) uses high energy laser-pulses for ablation of chemical compounds whose…

Machine Learning · Computer Science 2021-05-26 Piyush K. Sharma , Gary Holness , Poopalasingam Sivakumar , Yuri Markushin , Noureddine Melikechi

Nanobodies are small antibody fragments derived from camelids that selectively bind to antigens. These proteins have marked physicochemical properties that support advanced therapeutics, including treatments for SARS-CoV-2. To realize their…

Quantitative Methods · Quantitative Biology 2021-10-18 Chris McKennan , Zhe Sang , Yi Shi

Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based proteomics is a well-established research field with major applications such as identification of disease biomarkers, drug discovery, drug design and development. In…

Quantitative Methods · Quantitative Biology 2018-01-08 Fatema Tuz Zohora , Ngoc Hieu Tran , Xianglilan Zhang , Lei Xin , Baozhen Shan , Ming Li

While there are many different methods for peak detection, no automatic methods for marking peak boundaries to calculate area under the curve (AUC) and signal-to-noise ratio (SNR) estimation exist. An algorithm for the automation of liquid…

Quantitative Methods · Quantitative Biology 2026-01-16 Florian Rupprecht , Sören Enge , Kornelius Schmidt , Wei Gao , Clemens Kirschbaum , Robert Miller

In comparative proteomics studies, LC-MS/MS data is generally quantified using one or both of two measures: the spectral count, derived from the identification of MS/MS spectra, or some measure of ion abundance derived from the LC-MS data.…

Applications · Statistics 2015-03-19 Thomas I. Milac , Timothy W. Randolph , Pei Wang

Cross-domain few-shot segmentation (CD-FSS) is proposed to first pre-train the model on a large-scale source-domain dataset, and then transfer the model to data-scarce target-domain datasets for pixel-level segmentation. The significant…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Jintao Tong , Yixiong Zou , Yuhua Li , Ruixuan Li
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