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Human physiology and pathology arise from the coordinated interactions of diverse single cells. However, analyzing single cells has been limited by the low sensitivity and throughput of analytical methods. DNA sequencing has recently made…

Quantitative Methods · Quantitative Biology 2020-06-23 Nikolai Slavov

Ensuring the students in good physical levels is imperative for their future health. In recent years, the continually growing concentration of Particulate Matter (PM) has done increasingly serious harm to student health. Hence, it is highly…

Computer Vision and Pattern Recognition · Computer Science 2020-03-24 Yonghui Zhang , Ke Gu

Many pressing medical challenges - such as diagnosing disease, enhancing directed stem cell differentiation, and classifying cancers - have long been hindered by limitations in our ability to quantify proteins in single cells.…

Genomics · Quantitative Biology 2018-08-06 Harrison Specht , Nikolai Slavov

Single-cell proteomics (SCP) is transforming our understanding of biological complexity by shifting from bulk proteomics, where signals are averaged over thousands of cells, to the proteome analysis of individual cells. This granular…

Quantitative Methods · Quantitative Biology 2025-04-01 Amanda Momenzadeh , Jesse G. Meyer

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…

Atomic masses are a foundational quantity in our understanding of nuclear structure, astrophysics and fundamental symmetries. The long-standing goal of creating a predictive global model for the binding energy of a nucleus remains a…

Multi-modal Probabilistic Active Sensing (MMPAS) uses sensor fusion and probabilistic models to control the perception process of robotic sensing platforms. MMPAS is successfully employed in environmental exploration, collaborative mobile…

Robotics · Computer Science 2021-03-30 Luca Varotto , Angelo Cenedese

Mass spectrometry is the dominant technology in the field of proteomics, enabling high-throughput analysis of the protein content of complex biological samples. Due to the complexity of the instrumentation and resulting data, sophisticated…

Motivation: Assessing the match between two biomolecular structures is at the heart of structural analyses such as superposition, alignment and docking. These tasks are typically solved with specialized structure-matching techniques…

Biomolecules · Quantitative Biology 2024-01-23 Michael Habeck , Andreas Kröpelin , Nima Vakili

Nuclear magnetic resonance (NMR) spectroscopy is one of the leading techniques for protein studies. The method features a number of properties, allowing to explain macromolecular interactions mechanistically and resolve structures with…

Quantitative Methods · Quantitative Biology 2018-08-03 Piotr Klukowski , Adam Gonczarek

Kinetic models are essential for describing how molecules interact in a variety of biochemical processes. The estimation of a model's kinetic parameters by experiment enables researchers to understand how pathogens, such as viruses,…

Quantum Physics · Physics 2022-03-02 K. T. Mpofu , C. Lee , G. E. M. Maguire , H. G. Kruger , M. S. Tame

Analyzing proteins from single cells by tandem mass spectrometry (MS) has become technically feasible. While such analysis has the potential to accurately quantify thousands of proteins across thousands of single cells, the accuracy and…

The identification of peaks or maxima in probability densities, by mode testing or bump hunting, has become an important problem in applied fields. This task has been approached in the statistical literature from different perspectives,…

Methodology · Statistics 2020-09-01 Jose Ameijeiras-Alonso , Rosa M. Crujeiras , Alberto Rodríguez-Casal

In this paper, we quantify weak protein protein interactions in solution using Cross-Interaction Chromatography (CIC) and Surface Plasmon Resonance (SPR) and demonstrate that they can be modulated by the addition of free amino acids. With…

Mass spectrometry has experienced a rapid development since its first application for protein analysis in the 1980s. While the most common use of mass spectrometry for protein analysis is identification and quantification workflows on…

Biomolecules · Quantitative Biology 2020-03-03 Gerhard Mayer

Super-resolution ultrasound can image microvascular structure and flow at sub-wave-diffraction resolution based on localising and tracking microbubbles. Currently, tracking microbubbles accurately under limited imaging frame rates and high…

Image and Video Processing · Electrical Eng. & Systems 2023-04-04 Biao Huang , Jipeng Yan , Megan Morris , Victoria Sinnett , Navita Somaiah , Meng-Xing Tang

Mass density is a vital property for improved biophysical understanding of and within biological samples. It is increasingly attracting active investigation, but still lacks reliable, non-contact techniques to accurately characterize it in…

Soft Condensed Matter · Physics 2025-08-12 Conrad Möckel , Jiarui Li , Giulia Zanini , Jochen Guck , Giuliano Scarcelli

Recently, many software tools have been developed to perform quantification in LC-MS analyses. However, most of them are specific to either a quantification strategy (e.g. label-free or isotopic labelling) or a mass-spectrometry system…

Quantitative Methods · Quantitative Biology 2011-09-27 Benoît Valot , Olivier Langella , Edlira Nano , Michel Zivy

Mass Spectrometry (MS) is a largely used analytical technique in biology with applications such as the determination of molecule masses or the elucidation of structural data. Fourier Transform Ion Cyclotron Resonance MS is one…

Chemical Physics · Physics 2019-06-17 Laura Duciel , Afef Cherni , Marc-André Delsuc

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