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Bindesh Shrestha

Researcher at Waters Corporation

Publications -  42
Citations -  2380

Bindesh Shrestha is an academic researcher from Waters Corporation. The author has contributed to research in topics: Laser ablation electrospray ionization & Mass spectrometry. The author has an hindex of 22, co-authored 41 publications receiving 1888 citations. Previous affiliations of Bindesh Shrestha include George Washington University & Washington University in St. Louis.

Papers
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Journal ArticleDOI

Feature-based molecular networking in the GNPS analysis environment.

Louis-Félix Nothias, +87 more
- 24 Aug 2020 - 
TL;DR: Feature-based molecular networking (FBMN) as discussed by the authors is an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools.
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In situ metabolic profiling of single cells by laser ablation electrospray ionization mass spectrometry.

TL;DR: The results indicate the feasibility of using LAESI-MS for the in situ analysis of metabolites in single cells with potential applications in studying cell differentiation, changes due to disease states, and response to xenobiotics.
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Atmospheric Pressure Molecular Imaging by Infrared MALDI Mass Spectrometry

TL;DR: Infrared AP MALDI mass spectrometric imaging without the addition of an artificial matrix enables the in vivo investigation of small biomolecules and biological processes (e.g., metabolomics) in their natural environment.
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Atmospheric pressure infrared MALDI imaging mass spectrometry for plant metabolomics.

TL;DR: AP IR-MALDI mass spectrometry was used to follow the fluid transport driven by transpiration and image the spatial distributions of several metabolites in a white lily (Lilium candidum) flower petal.
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In situ cell-by-cell imaging and analysis of small cell populations by mass spectrometry.

TL;DR: It is demonstrated that laser ablation electrospray ionization (LAESI) MS can be utilized for in situ cell-by-cell imaging of plant tissues and can be viewed as promising candidates for biomarkers that, however, require further verification.