Results 31 to 40 of about 6,064,561 (323)

Spread spectrum SERS allows label-free detection of attomolar neurotransmitters

open access: yesNature Communications, 2021
The quantitative label-free detection of neurotransmitters provides critical clues in understanding neurological functions or disorders. However, the identification of neurotransmitters remains challenging for surface-enhanced Raman spectroscopy (SERS ...
Wonkyoung Lee   +8 more
semanticscholar   +1 more source

Extracting histones for the specific purpose of label-free MS [PDF]

open access: yes, 2016
Extracting histones from cells is the first step in studies that aim to characterize histones and their post-translational modifications (hPTMs) with MS.
De Clerck, Laura   +9 more
core   +2 more sources

Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ *

open access: yesMolecular & Cellular Proteomics, 2014
Protein quantification without isotopic labels has been a long-standing interest in the proteomics field. However, accurate and robust proteome-wide quantification with label-free approaches remains a challenge. We developed a new intensity determination
J. Cox   +5 more
semanticscholar   +1 more source

Label‐free characterization of an extracellular vesicle‐based therapeutic

open access: yesJournal of Extracellular Vesicles, 2021
Interest in mesenchymal stem cell derived extracellular vesicles (MSC‐EVs) as therapeutic agents has dramatically increased over the last decade. Current approaches to the characterization and quality control of EV‐based therapeutics include particle ...
Eleni Priglinger   +12 more
doaj   +1 more source

Label-Free Metabolic Classification of Single Cells in Droplets Using the Phasor Approach to Fluorescence Lifetime Imaging Microscopy. [PDF]

open access: yes, 2019
Characterization of single cell metabolism is imperative for understanding subcellular functional and biochemical changes associated with healthy tissue development and the progression of numerous diseases.
Aghaamoo, Mohammad   +4 more
core   +1 more source

Bottom-Up Assembled Photonic Crystals for Structure-Enabled Label-Free Sensing

open access: yesACS Nano, 2021
Photonic crystals (PhCs) display photonic stop bands (PSBs) and at the edges of these PSBs transport light with reduced velocity, enabling the PhCs to confine and manipulate incident light with enhanced light–matter interaction. Intense research has been
Juan Wang   +3 more
semanticscholar   +1 more source

Semiconductor Electronic Label-Free Assay for Predictive Toxicology. [PDF]

open access: yes, 2016
While animal experimentations have spearheaded numerous breakthroughs in biomedicine, they also have spawned many logistical concerns in providing toxicity screening for copious new materials. Their prioritization is premised on performing cellular-level
Chui, Chi On   +5 more
core   +2 more sources

Infrared Plasmonic Biosensor with Tetrahedral DNA Nanostructure as Carriers for Label‐Free and Ultrasensitive Detection of miR‐155

open access: yesAdvancement of science, 2021
MicroRNAs play an important role in early development, cell proliferation, apoptosis, and cell death, and are aberrantly expressed in many types of cancers.
Xindan Hui   +8 more
semanticscholar   +1 more source

RIBAR and xRIBAR: methods for reproducible relative MS/MS-based label-free protein quantification [PDF]

open access: yes, 2011
Mass spectrometry-driven proteomics is increasingly relying on quantitative analyses for biological discoveries. As a result, different methods and algorithms have been developed to perform relative or absolute quantification based on mass spectrometry ...
Colaert, Niklaas   +2 more
core   +1 more source

Label-Free Segmentation of COVID-19 Lesions in Lung CT [PDF]

open access: yesIEEE Transactions on Medical Imaging, 2020
Scarcity of annotated images hampers the building of automated solution for reliable COVID-19 diagnosis and evaluation from CT. To alleviate the burden of data annotation, we herein present a label-free approach for segmenting COVID-19 lesions in CT via ...
Qingsong Yao   +3 more
semanticscholar   +1 more source

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