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Littérature scientifique sur le sujet « Imaging by mass spectrometry »

Auteur : Grafiati

Publié le 26 avril 2025

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Articles de revues sur le sujet "Imaging by mass spectrometry"

Heeren, Ron M. A., et Jonathan V. Sweedler. « Imaging mass spectrometry imaging ». International Journal of Mass Spectrometry 260, n^o 2-3 (février 2007) : 89. http://dx.doi.org/10.1016/j.ijms.2006.11.016.

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NAITO, Yasuhide. « Imaging Mass Spectrometry ». Journal of the Mass Spectrometry Society of Japan 55, n^o 1 (2007) : 39. http://dx.doi.org/10.5702/massspec.55.39.

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Nirasawa, Takashi, Toshiji Kudo et Takaya Satoh. « Imaging mass spectrometry ». Japanese Journal of Pesticide Science 42, n^o 1 (2017) : 216–22. http://dx.doi.org/10.1584/jpestics.w17-51.

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Shimma, Shuichi. « Mass Spectrometry Imaging ». Mass Spectrometry 11, n^o 1 (25 février 2022) : A0102. http://dx.doi.org/10.5702/massspectrometry.a0102.

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Setou, Mitsutoshi. « Imaging Mass Spectrometry ». YAKUGAKU ZASSHI 132, n^o 4 (1 avril 2012) : 499–506. http://dx.doi.org/10.1248/yakushi.132.499.

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Smeal, Joseph, et Charles L. Wilkins. « Imaging Mass Spectrometry ». Applied Spectroscopy Reviews 46, n^o 6 (août 2011) : 425–39. http://dx.doi.org/10.1080/05704928.2011.570834.

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McDonnell, Liam A., et Ron M. A. Heeren. « Imaging mass spectrometry ». Mass Spectrometry Reviews 26, n^o 4 (30 avril 2007) : 606–43. http://dx.doi.org/10.1002/mas.20124.

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Porta Siegel, Tiffany, et Shane R. Ellis. « Mass spectrometry imaging 2.0 ». Analytical and Bioanalytical Chemistry 413, n^o 10 (23 mars 2021) : 2597–98. http://dx.doi.org/10.1007/s00216-021-03293-9.

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Blaschke, Calvin R. K., Colin T. McDowell, Alyson P. Black, Anand S. Mehta, Peggi M. Angel et Richard R. Drake. « Glycan Imaging Mass Spectrometry ». Clinics in Laboratory Medicine 41, n^o 2 (juin 2021) : 247–66. http://dx.doi.org/10.1016/j.cll.2021.03.005.

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Franck, Julien, Karim Arafah, Mohamed Elayed, David Bonnel, Daniele Vergara, Amélie Jacquet, Denis Vinatier et al. « MALDI Imaging Mass Spectrometry ». Molecular & ; Cellular Proteomics 8, n^o 9 (18 mai 2009) : 2023–33. http://dx.doi.org/10.1074/mcp.r800016-mcp200.

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Thèses sur le sujet "Imaging by mass spectrometry"

Yuen, Wei Hao. « Ion imaging mass spectrometry ». Thesis, University of Oxford, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.564395.

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This work investigates the applicability of fast detectors to the technique of microscope-mode imaging mass spectrometry. By ionising analyte from a large area of the sample, and projecting the desorbed ions by the use of ion optics through a time-of-flight mass spectrometer onto a two- dimensional detector, time- (and hence mass-) dependent distributions of ions may be imaged. To date, this method of imaging mass spectrometry has been limited by the ability to image only one mass window of interest per experimental cycle, limiting throughput and processing speed. Thus, the alternative microprobe-mode imaging mass spectrometry is currently the dominant method of analysis, with its superior mass resolution. The application of fast detectors to microscope-mode imaging lifts the restriction of the detection of a single mass window per experimental cycle, potentially decreasing acquisition time by a factor of the number of mass peaks of interest. Additional advantages include the reduction of sample damage by laser ablation, and the potential identification of coincident eo-fragments of different masses originating from the same parent molecule. Theoretical calculations and simulations have been performed confirming the suitability of conventional time-of-flight velocity-mapped ion imaging apparatus for imaging mass spectrometry. Only small modifications to the repeller plate and laser beam path, together with the adjustment of the accelerating potential field, were required to convert the apparatus to a wide (7 mm diameter) field-of-view ion microscope. Factors affecting the mass and spatial resolution were investigated with these theoretical calculations, with theoretical calculations predicting a spatial resolution of about 26μm and m/m of 93. Typical experimental data collected from velocity-mapped ion imaging experiments were collected, and characterised in order to provide specifications for a novel time-stamping detector, the Pixel Imaging Mass Spectrometry detector. From these data, the suitability of thresholding and centroiding on the new detector was determined. Initial experiments using desorptionjionisation on silicon and conventional charge-coupled device cameras confirmed the correct spatial-mapping of the apparatus. Matrix-assisted laser desorptionjionisation techniques (MALDI) were used in experiments to determine the spatial and mass resolutions attainable with the apparatus. Experimental spatial resolutions of 14.4 μm and m/m of 60 were found. The better experimental spatial resolution indicates a higher di- rectionality of initial velocities from MALDI desorption than used in the theoretical predictions, while the poorer mass resolution could be attributed to limitations imposed by the use of the phosphor screen. Proof-of-concept experiments using fast-framing cameras and the new time-stamping detectors confirmed the feasibility of multiple mass acquisition in time-of-flight microscope mode ion imaging. Mass-dependent distributions were acquired of different pigment distributions in each experimental cycle. Finally, spatial-mapped images of coronal mouse brain sections were acquired using both conventional and fast detectors. The apparatus was demonstrated to provide accurate spatial distributions with a wide field-of-view, and multiple mass distributions were acquired with each experimental cycle using the new time-stamping detector.

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Cobice, Diego Federico. « Mass spectrometry imaging of steroids ». Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/21032.

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Glucocorticoids are steroid hormones involved in the stress response, with a well-established role in promoting cardiovascular risk factors including obesity and diabetes. The focus of glucocorticoid research has shifted from understanding control of blood levels, to understanding the factors that control tissue steroid concentrations available for receptor activation; it is disruption of these tissue-specific factors that has emerged as underpinning pathophysiological mechanisms in cardiovascular risk, and revealed potential therapeutic targets. However, the field is hampered by the inability at present to measure concentrations of steroid within individual tissues and indeed within component cell types. This research project explores the potential for steroid measurements using mass spectrometry-based tissue imaging techniques combining matrix assisted laser desorption ionization with on-tissue derivatisation with Girard T and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (OTCD-MALDIFTICRMS). A mass spectrometry imaging (MSI) platform was developed and validated to quantify inert substrate and active product (11-dehydrocorticosterone (11DHC), corticosterone (CORT) respectively) of the glucocorticoid-amplifying enzyme 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) in rodent tissues. A novel approach to derivatising keto-steroids in tissue sections using Girard T reagent was developed and validated. Signals were boosted (10⁴ fold) by formation of GirT hydrazones compared to non-derivatised neutral steroids. Active and inert glucocorticoids were detected in a variety of tissues, including adrenal gland and brain; in the latter, highest abundance was found in the cortex and hippocampus. The MSI platform was also applied to human biopsies and murine tissues for the analysis of other ketosterols such as androgens and oxysterols. Proof-of-principle validation that the MSI platform could be used to quantify differences in enzyme activity was carried out by following in vivo manipulation of 11β-HSD1. Regional steroid distribution of both substrate and product were imaged at 150-200μm resolution in mouse brain sections, and the identification confirmed by collision induced dissociation/liquid extraction surface analysis (CID-LESA). To validate the technique, the CORT/11DHC ratios (active/inert) were determined in 11β- HSD1 deficient mice and found to be reduced (KO vs WT; cortex (49 %*); hippocampus (46 %*); amygdala (57 %)). Following pharmacological inhibition by administration of UE2316, drug levels peaked at 1 h in tissue and at this time point, a reduction in CORT/11DHC ratios were also determined, although to a lesser degree than in KO mice, cortex (22%), hippocampus (25 %) and amygdala (33 %). The changes in ratios appeared driven by accumulation of DHC, the enzyme substrate. In brains of mice with 11β-HSD1 deficiency or inhibition, decreases in sub-regional CORT/11DHC ratio were quantified, as well as accumulation of an alternative 11β- HSD1 substrate, 7-ketocholesterol. MSI data correlated well with the standard liquid chromatography tandem mass spectrometry (LC-MS/MS) in whole brain homogenates. Subsequently, the MSI platform was also applied to measure the dynamic turnover of glucocorticoids by 11β-HSD1 in metabolic tissues using stable isotope tracers (Cortisol-D4 (9,11,12,12-D4) (D4F). D4F was detected in plasma, liver and brain after 6 h infusion and after 48 h in adipose. D3F generation was detected at 6 h in plasma and liver; at 24 h in brain specifically in cortex, hippocampus and amygdala; and at 48 h in adipose. The spatial distribution of d3F generation in brain by MSI closely matched enzyme localisation. In liver, an 11β-HSD1-riched tissue, substantial generation of d3F was detected, with a difference in d4F/d3F ratios compared with plasma (ᴧTTRᴧ 0.18± 0.03 (6 h), 0.27± 0.05 (24 h) and 0.38±0.04 (48 h)). A smaller difference in TTR was also detected between plasma and brain (ᴧTTR 0.09 ± 0.03 (24 h), 0.13±0.04 (48 h)), with no detectable regeneration in adipose. After genetic disruption of 11β-HSD1, d3F generation was not detected in plasma or any tissues, suggesting that 11β-HSD1 is the only enzyme carrying out this reaction. After pharmacological inhibition, a similar pattern was seen. The circulating concentration of drug peaked at 2 h and declined towards 4 h, with same pattern in liver and brain. The ᴧTTR ratios 2HPD between plasma and liver (0.27±0.08vs. 0.45± 0.04) and brain (0.11±0.2 vs. 0.19± 0.04) were smaller following drug administration than vehicle, indicating less d3F generation. Extent of enzyme inhibition in liver responded quickly to the declining drug, with ᴧTTR returning to normal by 4 h (0.38± 0.06). ᴧTTR had not normalised 4HPD in brain (0.12±0.02, suggesting buffering of this pool. In adipose, UE2316 was not detected and nor were rates of d3F altered by the drug. Two possible phase I CYP450 metabolites were identified in the brain differing in spatial distribution. In conclusion, MSI with on-tissue derivatisation is a powerful new tool to study the regional variation in abundance of steroids within tissues. We have demonstrated that keto-steroids can be studied by MALDI-MSI by using the chemical derivatisation method developed here and exemplified its utility for measuring pharmacodynamic effects of small molecule inhibitors of 11β-HSD1. This approach offers the prospect of many novel insights into tissue-specific steroid and sterol biology.

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Palmer, Andrew D. « Information processing for mass spectrometry imaging ». Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/5472/.

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Mass Spectrometry Imaging (MSI) is a sensitive analytical tool for detecting and spatially localising thousands of ions generated across intact tissue samples. The datasets produced by MSI are large both in the number of measurements collected and the total data volume, which effectively prohibits manual analysis and interpretation. However, these datasets can provide insights into tissue composition and variation, and can help identify markers of health and disease, so the development of computational methods are required to aid their interpretation. To address the challenges of high dimensional data, randomised methods were explored for making data analysis tractable and were found to provide a powerful set of tools for applying automated analysis to MSI datasets. Random projections provided over 90% dimensionality reduction of MALDI MSI datasets, making them amenable to visualisation by image segmentation. Randomised basis construction was investigated for dimensionality reduction and data compression. Automated data analysis was developed that could be applied data compressed to 1% of its original size, including segmentation and factorisation, providing a direct route to the analysis and interpretation of MSI datasets. Evaluation of these methods alongside established dimensionality reduction pipelines on simulated and real-world datasets showed they could reproducibly extract the chemo-spatial patterns present.

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Stryffeler, Rachel Bennett. « New analytical approaches for mass spectrometry imaging ». Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54892.

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Chemical imaging by mass spectrometry is a powerful approach by which to map spatial distributions of molecules to better understand their function in the system of interest. Over the last thirty years, MSI has evolved into a very powerful analytical tool for the investigation of chemically-complex samples including biological tissues, catalytic surfaces and thin layer chromatography plates, among many others. The work in this dissertation aimed to characterize existing MSI methods, while also developing novel instrumentation able to overcome the challenges found in a variety of applications. Different sample preparation and ionization techniques were evaluated to maximize detection of lipid species in brain tissues subjected to traumatic injury to better understand the biological processes involved. Next, differential mobility separation was coupled to an ambient MSI system that resulted in increased signal-to-noise ratios and image contrast. Third, bulky catalytic granite surfaces were imaged to determine specific mineral reactivity and demonstrate the ability of desorption electrospray ionization to image such samples. Fourth, a novel technique was developed names Robotic Plasma Probe Ionization (RoPPI), which uses a vision system-guided robotic arm to probe irregular surfaces for three dimensional surface imaging. Finally, a software program was developed to automatically screen MSI datasets acquired from thin layer chromatography separations for spot-like shapes corresponding to mixture components; this program was named DetectTLC. This research resulted in instrumentation advances for MSI that have enabled increased chemical diversity, enhanced sensitivity and image contrast, imaging of bulky or irregularly-shaped surfaces, and multivariate tools to facilitate data interpretation.

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Fornai, L. « Molecular Imaging of the heart by mass spectrometry ». Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421675.

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BACKGROUND Cardiovascular diseases are the world’s number one death cause, accounting for 17.1 million deaths a year. There is still much unknown about cardiovascular diseases and their physiological underlying mechanism. Understanding the nature of complex biological processes occurring in both healthy and diseased heart tissue requires identifying the compounds involved and determining where they are located. Summary METHODS We have investigated a complementary mass spectrometry imaging (MSI) approach using matrix-assisted laser desorption/ionization (MALDI) and secondary ion mass spectrometry (SIMS) on the major areas of rat heart: the pericardium, the myocardium, the endocardium, and the great vessels to study the native distribution and identity of atomics, lipids, peptides and proteins in rat heart sections. 40 layers of horizontal tissue slices were acquired and reconstructed into a 3 D dataset. RESULTS Surface rastering of heart tissue sections generated multiple secondary ions in a mass range up to 1500 m/z. In the negative spectra we identified cholesterol related ions that show high intensity in both atrias, the aorta, the pulmonary artery and the outline both ventricles. The m/z 105 (choline) signal localizes in both atrias, aorta, pulmonary artery, in the atrioventricular valves and semilunar valves but is not present in ventricles surface. DAG species with probable identifications as Oleic, Linoleic [OL]+ at m/z 602 and [OO]+ (Oleic, Oleic) at m/z 604, can be detected. The images of 3D reconstruction show a highly complementary localization between Na+, K+, ion at m/z 145 and ion at m/z 667. Na+ is localized to tissue regions corresponding to atrias, while K+ is strongly localized to tissue regions corresponding to ventricles surface.The ion at m/z 667 localized very precisely within the aortic wall and the ion at m/z 145 is primarily located to the atria regions. CONCLUSIONS To promote further research with cardiovascular disease, we report the identification of characteristic molecules that map the spatial organization in a rat heart’s structure. A series of images obtained from successive sections of animal heart could, in principle, be used to produce a molecular atlas. Such tissue atlases (based optical images) are widely used for anatomical and physiological reference. The specific aim of this project is to optimize the data obtained from Heart SIMS a analysis and the 3-D reconstructive techniques developed to aid in investigating and visualizing differential molecular localizations in heart rat structures. The results reported here represent the first 3D molecular reconstruction of rat heart by SIMS imaging.
Introduzione Le malattie cardiovascolari rappresentano nel mondo la prima causa di morte, contando 17.1 milioni di morti ogni anno. Attualmente i meccanismi fisiopatologici alla base delle patologie sono in larga parte ancora sconosciuti. Capire la natura dei complessi processi biologici in atto sia nel miocardio cardiaco sano che malato richiede l’identificazione e la localizzazione degli stessi elementi molecolari coinvolti. METODO Utilizzando tecniche complementari di spettrometria di massa d’immagine (SMI) quali la spettrometria di massa a ioni secondari (Secondary Ion Mass Spectrometry, SIMS) e la spettrometria di massa a desorbimento /ionizzazione laser assistita da matrice (Matrix-assisted laser desorption/ionization, MALDI) abbiamo analizzato le principali componenti del cuore del ratto: il pericardio, il miocardio, l’endocardio, le valvole e i grandi vasi al fine di studiare ed identificare l’originale distribuzione di atomi, lipidi, peptici e proteine nel tessuto cardiaco normale. Quaranta sezioni di tessuto cardiaco sono state acquisite e ricostruite ottenendo un database tridimensionale. RISULTATI L’analisi della superficie delle sezione di tessuto cardiaco ha generato molteplici ioni secondari con un intervallo di massa che raggiunge i 1500 m/z. Utilizzando la modalita’ negativa abbiamo identificato il colesterolo e gli ioni relativi ad esso che mostrato un alta intensita’ in entrambi gli atri, l’aorta, l’arteria polmonare e pericardio. La colina corrispondente a 105 m/z di massa molecolare risulta essere localizzata in entrambi gli atri, aorta, arteria polmonare, valvole atrioventricolari e valvole semilunari ma non risulta essere presente sulla superficie ventricolare. Sono state identificate molecole appartenenti al diacilglicerolo come acido Oleico, Linoleico [OL]+ corrispondenti alla massa molecolare di 602 m/z e [OO]+ (Oleico,Oleico) con massa molecolare di 604 m/z. Le immagini ottenute dalla ricostruzione tridimensionale mostrano una specifica localizzazione complementare tra il sodio, il potassio e gli ioni con massa molecolare di 145 m/z e 667 m/z. Il sodio e’maggiormente localizzato nelle regioni cardiache corrispondenti agli atri, mentre il potassio e’ maggiormente localizzato nelle regioni corrispondenti alla superficie ventricolari. Lo ione con massa molecolare di 667 m/z e’ localizzato con molta precisione all’interno della parete dell’aorta e lo ione con massa molecolare di 145 m/z e’ localizzato a livello delle regioni atriali. CONCLUSIONI Al fine di promuovere un’ulteriore ricerca in patologia cardiovascolare, riportiamo l’identificazione delle caratteristiche molecole che mappano l’organizzazione spaziale delle strutture cardiache del cuore del ratto. Una serie di immagini ottenute da sezioni successive del cuore potrebbero inizialmente essere utilizzate come un atlante molecolare e similmente, ad un atlante basato sulle immagini ottiche, essere ampiamente utilizzato come referente sia dal punto di vista fisiologico che anatomico. L’aiuto apportato da questo progetto e’ l’ottimizzazione dei dati ottenuti dall’analisi SIMS e lo sviluppo della tecnica per la ricostruzione tridimensionale al fine di investigare e visualizzare le differenti molecole localizzate nelle strutture del cuore di ratto. I risultati qui riportati rappresentano la prima ricostruzione tridimensionale ottenuta con immagini SIMS, del cuore di ratto.

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Jung, Seokwon. « Surface characterization of biomass by imaging mass spectrometry ». Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45906.

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Lignocellulosic biomass (e.g., non food-based agricultural resides and forestry wastes) has recently been promoted for use as a source of bioethanol instead of food-based materials (e.g., corn and sugar cane), however to fully realize these benefits an improved understanding of lignocellulosic recalcitrance must be developed. The primary goal of this thesis is to gain fundamental knowledge about the surface of the plant cell wall, which is to be integrated into understanding biomass recalcitrance. Imaging mass spectrometry by TOF-SIMS and MALDI-IMS is applied to understand detailed spatial and lateral changes of major components in the surface of biomass under submicron scale. Using TOF-SIMS analysis, we have demonstrated a dilute acid pretreated poplar stem represented chemical differences between surface and bulk compositions. Especially, abundance of xylan was observed on the surface while sugar profile data showed most xylan (ca. 90%) removed from the bulk composition. Water only flowthrough pretreated poplar also represented difference chemistry between surface and bulk, which more cellulose revealed on the surface compared to bulk composition. In order to gain the spatial chemical distribution of biomass, 3-dimensional (3D) analysis of biomass using TOF-SIMS has been firstly introduced in the specific application of understanding recalcitrance. MALDI-IMS was also applied to visualize different molecular weight (e.g., DP) of cellulose oligomers on the surface of biomass.

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Henderson, Fiona. « Mass spectrometry imaging of lipid profiles in disease ». Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/mass-spectrometry-imaging-of-lipid-profiles-in-disease(f1b202b1-2a6e-416e-ab81-321ef4f0e24d).html.

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It is well established that lipids play an important role in diseases such as non-alcoholic fatty liver disease and cardiovascular diseases. However, in the past decade, it has come to light that lipids may be important in other diseases; particularly in cancer and neurological disorders. Here, lipid metabolism has been investigated using pre-clinical cancer models for melanoma, glioma, non-small-cell lung cancer and colorectal cancer. The role of lipids in the recovery post-stroke has also been studied. Mass spectrometry imaging offers an ideal tool to study lipids in tissue ex-vivo. Lipids ionise well in a number of mass spectrometry modalities, and hundreds of lipids can be imaged in one mass spectrometry imaging experiment. Furthermore, mass spectrometry imaging offers excellent spatial resolution. In this work, both MALDI-MS and DESI-MS have been used for mass spectrometry imaging. Tumour lipid heterogeneity has been a particular focus of this this project. Heterogeneity exists within tumours, as well as between tumours in the same patient; and this causes major problems for therapy. Owing to the untargeted nature, and high spatial resolution of mass spectrometry imaging, it is an excellent technique to study lipid heterogeneity. Adjacent sections (or in some cases the same section used for mass spectrometry imaging), were used for immunofluorescence and H&E staining. By comparing mass spectrometry images with staining techniques, biological reasons for lipid heterogeneity can be established. Here, a particular focus has been on hypoxia (low oxygen tensions), which is a key contributor to tumour heterogeneity, and is associated with aggressive cancers. Additionally, hypoxia is a feature of ischaemic stroke, and lipids in ischaemic stroke have also been investigated. PET is a non-invasive imaging technique which is able to image a radiolabelled molecule (tracer) in the body. Here, PET has been used as a complementary in-vivo technique to mass spectrometry imaging. The tracers [11C] acetate and [18F]-FTHA have been used to image fatty acid synthase and fatty acid uptake in tumours; both of which are hypothesised to be key in cancer progression. REIMS is a newly established mass spectrometry technique. It is ideal for analysing lipids in cells, as sample preparation is minimal. Here, approaches for cell pellet analysis have been tested, and used to detect lipids in cancer cell lines.

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Guo, Ang. « Improving the performance of microscope mass spectrometry imaging ». Thesis, University of Oxford, 2018. http://ora.ox.ac.uk/objects/uuid:aa94a7f6-00ee-4b56-ba65-f6946799d5f2.

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Mass spectrometry imaging (MSI) is a powerful tool that provides mass-specific surface images with micron or sub-micron spatial resolutions. In a microscope MSI experiment, large sample surfaces are illuminated with a defocused laser or primary ion beam, enabling all surface molecules to be desorbed and ionised simultaneously before being electrostatically projected onto a position-sensitive imaging detector at the end of a time-of-flight mass analyser. Traditionally only the image of one mass-to-charge ratio can be obtained in a single acquisition, which limits its applicability. However, the development of event-triggered sensors, such as CMOS-based cameras, revives the microscope MSI method by allowing multi-mass imaging. Therefore, the challenges facing microscope have MSI shifted to improving its mass resolution, effective mass range, and mass accuracy. This thesis proposes effective solutions to each of them, and thus significantly improves the performance and applicability of microscope MSI. To increase the mass range, two modified post-extraction differential acceleration (PEDA) techniques, double-field PEDA and time-variable PEDA, were used to demonstrate mass-resolved stigmatic imaging over a broad m/z range. In double-field PEDA, a potential energy cusp was introduced into the ion acceleration region of an imaging mass spectrometer, creating two m/z foci that were tuned to overlap at the detector plane. This resulted in two focused m/z distributions that stretched the mass-resolved window with m/Îm >= 1000 to 165 Da without any loss in image quality; a range that doubled the 65 Da achieved under similar conditions using the original PEDA technique. In time-variable PEDA, a dynamic pulsed electric field was used to maximize the effective mass range of PEDA. By simultaneously focusing ions between 300 to 700 m/z using an exponentially rising voltage pulse, time-variable PEDA provides an effective mass range more than six times wider than the original PEDA method. Although reflectrons are widely used to improve the mass resolving power of ToF-MS, incorporating them in a microscope MSI instrument is novel. A reflectron MSI instrument was designed and implemented. Simulations demonstrated that one-stage gridless reflectrons were more compatible with the spatial imaging goal of the microscope MSI instrument than the gridded reflectrons. Preliminary experimental results showed that coupling the gridless reflectron with single-field PEDA achieved a mass resolution above 8,000 m/Îm while keeping a spatial resolution of 20 um. In conclusion, the gridless reflectron was able to triple the mass resolving power without losing any spatial imaging power. The poor mass accuracy hurdle was overcome by machine learning algorithms, which can construct clinical diagnostic models that recognise the peak pattern of biological mass spectra and classify them accurately without knowing the actual mass of each peak. After a proof of concept "experiment", where the mass spectra of dye molecules were classified by various learning algorithms, three pairs of datasets (ovarian cancer, prostate cancer, chronic fatigue and their respective controls) were used to build classifiers that accurately distinguish blood samples from controls. Possible biomarkers were also discovered by evaluating the importance of each m/z feature, which may assist further studies.

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Nakata, Yoshihiko. « Imaging Mass Spectrometry with MeV Heavy Ion Beams ». 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/124537.

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Hulme, Heather E. « Mass spectrometry imaging to investigate host-microbe interactions ». Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/8930/.

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Mass spectrometry imaging (MSI) is a powerful tool for mapping the spatial distribution and relative abundance of molecules across a sample surface. The distribution of proteins, metabolites, lipids and drugs can be determined and unlike other molecular imaging techniques, such as immunohistochemistry (IHC), MSI is completely label-free. Therefore, this technique does not require prior knowledge of the molecule to be imaged and thousands of molecules can be imaged at once. This is particularly useful for untargeted imaging, to discover molecules which are important for a certain condition. For example, a healthy tissue sample can be compared to a diseased sample in the same imaging run to help understand the molecules involved in the disease process. MSI has become a popular technique in fields such as neuroscience, drug distribution studies and as a biomarker discovery tool in cancer. However, the use of MSI in microbiology has to date been limited. In the present study MSI was used to investigate molecular host-microbe interactions of both beneficial and pathogenic bacteria of the gastrointestinal tract. In the initial part of this thesis, MSI was employed to discover molecular changes in the host, caused by Salmonella enterica serovar Typhimurium infection. S. Typhimurium is a Gram-negative facultative intracellular bacterium and is a leading cause of food-borne infection worldwide in humans. The symptoms include abdominal cramps and diarrhoea, and although this infection is usually self-limiting with individuals recovering without the requirement for treatment, it can be more serious in young, old, malnourished, or immunocompromised people. S. Typhimurium is transmitted by ingestion of contaminated food or water. The bacteria infect cells of the gastrointestinal tract, causing inflammation, and cross the epithelial layer of the gut to enter underlying specialised immune tissue, the Peyer’s patches. S. Typhimurium can be taken up by immune cells, but can survive within these cells and are transported to another specialised immune location, the mesenteric lymph nodes (MLNs). In the present study, an S. Typhimurium infected, gastroenteritis mouse model was used to investigate host-pathogen interaction. Various tissue types were collected from 72 h infected, 48 h infected and uninfected mice including colon, Peyer’s patches and MLN. IHC staining was used to locate tissue types and regions where S. Typhimurium were present and MSI was employed to find molecular changes caused by the infection. This preliminary analysis highlighted 73 molecules that differed in abundance or distribution between infected and uninfected samples, across all three tissue types. These molecules could be investigated further in future, however, subsequent analysis focused on one molecule, which was identified as palmitoylcarnitine, a molecule involved in fatty acid metabolism. This molecule was present at high abundance in areas of the MLNs 72 h post infection, where both bacteria and infection induced tissue damage were present. This molecule was also present in uninfected samples and areas of infected tissue where no bacteria were present at lower levels, therefore this molecule was deemed to be host derived. It was hypothesised that this molecule could either be; produced by the immune system to directly damage S. Typhimurium, be produced by the immune system to enhance the immune response, or be a by-product of tissue damage and could further damage host cells. Therefore, subsequent analysis focused on testing the effects of palmitoylcarnitine to investigate these hypotheses. No effects were found when testing this molecule on bacterial growth or virulence. Palmitoylcarnitine localised to areas of immune cell, T cell, B cell and macrophage, disruption in the MLNs. Cells from MLNs were isolated and cultured in the presence of palmitoylcarnitine to investigate any effects of this molecule on immune cell death or activation. Palmitoylcarnitine was found to cause cell death by apoptosis of a particular subset of immune cells, CD4+CD25+ T cells. These immune cells are mostly likely regulatory T cells, which protect the host against excess damage during an immune response. Therefore, the overall hypothesis was S. Typhimurium infection could be disrupting fatty acid metabolism, leading to accumulation of palmitoylcarnitine. This in turn causes death of CD4+CD25+ T cells, which could be responsible for causing the excess tissue damage found in the MLNs during infection. The second part of this thesis employed MSI to investigate the interaction between the beneficial bacteria of the gastrointestinal tract, the microbiota, and the host brain. An altered microbiota has recently been linked to diseases throughout the body and differences in the microbiota have been found in patients with neurological disorders, such as autism, Parkinson’s disease and depression. There is still little known about the links between the brain and microbiota and how the microbiota may be influencing the brain. In the present study the colons and brains of mice with absent or depleted microbiota were compared to conventionally colonized mice to investigate possible links between the gut and the brain. MSI was demonstrated to be an effective technique to image known molecules, as well as previously unknown molecules which changed between microbiota depleted and conventionally colonized mice. A previously unknown microbiota derived molecule was chosen for further identification and analysis. This study demonstrates the capabilities of MSI as a discovery tool to find molecules important for host-microbe interactions. This study also aids in advancing the use of this technique in the field of microbiology, which would be highly beneficial in future to help understand immune evasion strategies of pathogenic bacteria and how the microbiota is interacting and crucial to the host.

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Livres sur le sujet "Imaging by mass spectrometry"

Cole, Laura M., dir. Imaging Mass Spectrometry. New York, NY : Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7051-3.

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Rubakhin, Stanislav S., et Jonathan V. Sweedler, dir. Mass Spectrometry Imaging. Totowa, NJ : Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-746-4.

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Setou, Mitsutoshi, dir. Imaging Mass Spectrometry. Tokyo : Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8.

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Cole, Laura M., et Malcolm R. Clench, dir. Imaging Mass Spectrometry. New York, NY : Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3319-9.

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Porta Siegel, Tiffany, dir. MALDI Mass Spectrometry Imaging. Cambridge : Royal Society of Chemistry, 2021. http://dx.doi.org/10.1039/9781839165191.

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Lee, Young-Jin, dir. Mass Spectrometry Imaging of Small Molecules. New York, NY : Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2030-4.

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He, Lin, dir. Mass Spectrometry Imaging of Small Molecules. New York, NY : Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-1357-2.

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Lin, He. Mass spectrometry imaging of small molecules. New York : Humana Press, 2014.

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Lindon, John C. Encyclopedia of spectroscopy and spectrometry. San Diego : Academic Press, 2000.

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B, Wunderer Cornelia. Imaging with the test setup for the coded-mask INTEGRAL spectrometer SPI : Performance of a coded aperture [gamma]-ray telescope at 60 keV-8 MeV. Garching bei München : Max-Planck-Institut fur Extraterrestrische Physik, 2003.

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Chapitres de livres sur le sujet "Imaging by mass spectrometry"

Szynkowska, Małgorzata Iwona. « Imaging of Small Molecules ». Dans Mass Spectrometry, 275–85. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2008. http://dx.doi.org/10.1002/9780470395813.ch13.

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Morgan, Michael M., MacDonald J. Christie, Thomas Steckler, Ben J. Harrison, Christos Pantelis, Christof Baltes, Thomas Mueggler et al. « Mass Spectrometry Imaging ». Dans Encyclopedia of Psychopharmacology, 750. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_4342.

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Carroll, Marilyn E., Peter A. Santi, Joseph Zohar, Thomas R. E. Barnes, Peter Verheart, Per Svenningsson, Per E. Andrén et al. « Imaging Mass Spectrometry ». Dans Encyclopedia of Psychopharmacology, 617. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_1552.

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Reyzer, Michelle L., et Richard M. Caprioli. « Imaging Mass Spectrometry ». Dans NATO Science for Peace and Security Series A : Chemistry and Biology, 267–83. Dordrecht : Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9815-3_17.

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Setou, Mitsutoshi. « IMS as an Historical Innovation ». Dans Imaging Mass Spectrometry, 3–7. Tokyo : Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_1.

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Sugiura, Yuki, et Mitsutoshi Setou. « Statistical Procedure for IMS Data Analysis ». Dans Imaging Mass Spectrometry, 127–42. Tokyo : Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_10.

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Zaima, Nobuhiro, et Mitsutoshi Setou. « Statistical Analysis of IMS Dataset with ClinproTool Software ». Dans Imaging Mass Spectrometry, 143–55. Tokyo : Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_11.

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Yang, Hyun Jeong, Yuki Sugiura, Koji Ikegami et Mitsutoshi Setou. « Imaging of Cultured Cells by Mass Spectrometry ». Dans Imaging Mass Spectrometry, 159–68. Tokyo : Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_12.

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Goto-Inoue, Naoko, Takao Taki et Mitsutoshi Setou. « TLC-Blot-MALDI-IMS ». Dans Imaging Mass Spectrometry, 169–77. Tokyo : Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_13.

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Kokaji, Tetsuo. « Applied Biosystems ». Dans Imaging Mass Spectrometry, 181–98. Tokyo : Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-09425-8_14.

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Actes de conférences sur le sujet "Imaging by mass spectrometry"

Warren, Jade, Amoon Jamzad, Tamara Jamaspishvili, Rachael Iseman, Ayesha Syeda, Martin Kaufmann, John Rudan, Gabor Fichtinger, David M. Berman et Parvin Mousavi. « Towards Improving Surgical Margins in Tumour Resection Using Mass Spectrometry Imaging ». Dans 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 554–58. IEEE, 2024. http://dx.doi.org/10.1109/ccece59415.2024.10667088.

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Luna, José Marcio, Hani Nakhoul, Cody Weimholt, Eric H. Kim, Sheng-Kwei Song, Peggi M. Angel, Richard R. Drake et Joseph E. Ippolito. « A Pipeline for Histopathology Analysis of Prostate Cancer Guided by Mass Spectrometry Imaging ». Dans 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635223.

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Wainwright, Alexander, Khaled Madhoun, Pei Su, Samuel E. Janisse, Yigit Ozan Aydin, Jared Otto Kafader, Neil L. Kelleher et R. J. Dwayne Miller. « Application of nanosecond mid-infrared lasers in mass spectrometry imaging of intact proteins ». Dans Optical Interactions with Tissue and Cells XXXVI, sous la direction de Joel N. Bixler, Norbert Linz et Alex J. Walsh, 30. SPIE, 2025. https://doi.org/10.1117/12.3039292.

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Belsey, Natalie, Dimitrios Tsikritsis, Camilla Dondi, Jean-Luc Vorng, Alex Dexter et Mike Shaw. « Combining vibrational and fluorescence microscopies with mass spectrometry imaging for visualization of drug delivery ». Dans Visualizing and Quantifying Drug Distribution in Tissue IX, sous la direction de Conor L. Evans et Kin Foong Chan, 6. SPIE, 2025. https://doi.org/10.1117/12.3043629.

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Sarycheva, Anastasia, Anton Grigoryev, Evgeny N. Nikolaev et Yury Kostyukevich. « Robust Simulation Of Imaging Mass Spectrometry Data ». Dans 35th ECMS International Conference on Modelling and Simulation. ECMS, 2021. http://dx.doi.org/10.7148/2021-0192.

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Mass spectrometry imaging (MSI) with high resolution in mass and space is an analytical method that produces distributions of ions on a sample surface. The algorithms for preprocessing and analysis of the raw data acquired from a mass spectrometer should be evaluated. To do that, the ion composition at every point of the sample should be known. This is possible via the employment of a simulated MSI dataset. In this work, we suggest a pipeline for a robust simulation of MSI datasets that resemble real data with an option to simulate the spectra acquired from any mass spectrometry instrument through the use of the experimental MSI datasets to extract simulation parameters.

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Kawai, Yosuke, Kentaro Terada, Toshinobu Hondo, Jun Aoki, Morio Ishihara, Michisato Toyoda et Ryosuke Nakamura. « Development of a Secondary Neutral Mass Spectrometer for Submicron Imaging Mass Spectrometry ». Dans Proceedings of the 15th International Symposium on Origin of Matter and Evolution of Galaxies (OMEG15). Journal of the Physical Society of Japan, 2020. http://dx.doi.org/10.7566/jpscp.31.011065.

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Hazama, Hisanao, Jun Aoki, Hirofumi Nagao, Hidetoshi Yoshimura, Yasuhide Naito, Michisato Toyoda, Katsuyoshi Masuda, Kenichi Fujii, Toshio Tashima et Kunio Awazu. « Stigmatic imaging mass spectrometry using a multi-turn time-of-flight mass spectrometer ». Dans The Pacific Rim Conference on Lasers and Electro-Optics (CLEO/PACIFIC RIM). IEEE, 2009. http://dx.doi.org/10.1109/cleopr.2009.5292164.

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Muir, E. R., I. J. Ndiour, N. A. Le Goasduff, R. A. Moffitt, Y. Liu, M. C. Sullards, A. H. Merrill, Y. Chen et M. D. Wang. « Multivariate Analysis of Imaging Mass Spectrometry Data ». Dans 7th IEEE International Conference on Bioinformatics and Bioengineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375603.

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Coello, Yves, A. Daniel Jones, Tissa C. Gunaratne et Marcos Dantus. « Atmospheric Pressure Femtosecond Laser Imaging Mass Spectrometry ». Dans Laser Applications to Chemical, Security and Environmental Analysis. Washington, D.C. : OSA, 2010. http://dx.doi.org/10.1364/lacsea.2010.ltua2.

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Coello, Yves, A. Daniel Jones, Tissa C. Gunaratne et Marcos Dantus. « Atmospheric Pressure Femtosecond Laser Imaging Mass Spectrometry ». Dans International Conference on Ultrafast Phenomena. Washington, D.C. : OSA, 2010. http://dx.doi.org/10.1364/up.2010.wc5.

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Rapports d'organisations sur le sujet "Imaging by mass spectrometry"

Moore, Jerome, et Andrew Moore. Ion Mobility – Mass Spectrometry Rapid Imaging of Special Nuclear Materials. Office of Scientific and Technical Information (OSTI), août 2023. http://dx.doi.org/10.2172/1995985.

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Feenstra, Adam D. Technological Development of High-Performance MALDI Mass Spectrometry Imaging for the Study of Metabolic Biology. Office of Scientific and Technical Information (OSTI), décembre 2016. http://dx.doi.org/10.2172/1409181.

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Korte, Andrew R. Development of matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) for plant metabolite analysis. Office of Scientific and Technical Information (OSTI), décembre 2014. http://dx.doi.org/10.2172/1226566.

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McVey, Patrick. Direct analysis of solid samples by electrospray laser desorption ionization mass spectrometry imaging : From plants to pharmaceuticals. Office of Scientific and Technical Information (OSTI), août 2018. http://dx.doi.org/10.2172/1505182.

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Maharrey, Sean P., Aaron M. Highley, Richard, Jr Behrens et Deneille Wiese-Smith. Final LDRD report : development of sample preparation methods for ChIPMA-based imaging mass spectrometry of tissue samples. Office of Scientific and Technical Information (OSTI), décembre 2007. http://dx.doi.org/10.2172/966248.

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Cha, Sangwon. Laser desorption/ionization mass spectrometry for direct profiling and imaging of small molecules from raw biological materials. Office of Scientific and Technical Information (OSTI), janvier 2008. http://dx.doi.org/10.2172/976267.

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Yagnik, Gargey B. Nanoparticle-assisted laser desorption/ionization mass spectrometry : Novel sample preparation methods and nanoparticle screening for plant metabolite imaging. Office of Scientific and Technical Information (OSTI), février 2016. http://dx.doi.org/10.2172/1342543.

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Weber, P., et J. Pett-Ridge. Performance Metric Q4 : Report on the use of imaging and mass spectrometry-based capabilities to describe microbiome interactions. Office of Scientific and Technical Information (OSTI), septembre 2021. http://dx.doi.org/10.2172/1823697.

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Cooke, E., M. Hayes, M. Romanchikova, A. Dexter, R. Steven, S. Thomas, M. Shaw et al. Acquisition & ; management of high content screening, light-sheet microscopy and mass spectrometry imaging data at AstraZeneca, GlaxoSmithKline and NPL. National Physical Laboratory, septembre 2020. http://dx.doi.org/10.47120/npl.mn25.

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