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Josephine Bunch

Researcher at National Physical Laboratory

Publications -  72
Citations -  2261

Josephine Bunch is an academic researcher from National Physical Laboratory. The author has contributed to research in topics: Mass spectrometry imaging & Mass spectrometry. The author has an hindex of 25, co-authored 60 publications receiving 1754 citations. Previous affiliations of Josephine Bunch include University of Nottingham & University of Sheffield.

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Inclusive sharing of mass spectrometry imaging data requires a converter for all.

TL;DR: It is proposed that proprietary formats should first be converted to mzML using one of the widely available converters, such as msconvert and then use imzMLConverter to convert mZML to imz ML, which will allow a wider audience to benefit from the imZML format immediately.
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Chemical intervention in plant sugar signalling increases yield and resilience

TL;DR: It is shown that chemical intervention in a potent sugar signal increases grain yield, whereas application to vegetative tissue improves recovery and resurrection from drought, offering a means to combine increases in yield with crop stress resilience.
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Single-Cell Analysis: Visualizing Pharmaceutical and Metabolite Uptake in Cells with Label-Free 3D Mass Spectrometry Imaging

TL;DR: Three-dimensional secondary ion mass spectrometry (SIMS) imaging was used to investigate the cellular uptake of the antiarrhythmic agent amiodarone, a phospholipidosis-inducing pharmaceutical compound, and provided the basis for studying Cellular uptake of pharmaceutical compounds and their metabolites on the single cell level.
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Mass Spectrometry Imaging and Integration with Other Imaging Modalities for Greater Molecular Understanding of Biological Tissues

TL;DR: For instance, mass spectrometry imaging (MSI) has demonstrated its potential in numerous applications from drug discovery, disease state evaluation through proteomic and/or metabolomic studies as discussed by the authors.
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Hyperspectral visualization of mass spectrometry imaging data.

TL;DR: An intuitive color-coding scheme based on hyperspectral imaging methods is developed to generate a single overview image of this complex data set, based on spectral characteristics, such that pixels with similar molecular profiles are displayed with similar colors.