Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping

An approach to fuse images from imaging mass spectrometry and microscopy provides biological insights into molecular tissue distributions beyond what can be obtained from either modality individually. We describe a predictive imaging modality created by 'fusing' two distinct technologies:...

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Published in:	Nature methods Vol. 12; no. 4; pp. 366 - 372
Main Authors:	Van de Plas, Raf, Yang, Junhai, Spraggins, Jeffrey, Caprioli, Richard M
Format:	Journal Article
Language:	English
Published:	New York Nature Publishing Group US 01.04.2015 Nature Publishing Group
Subjects:	631/114/1564 631/114/2401 631/1647/245/2160 631/1647/527/296 82/58 Animals Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Brain - ultrastructure Fusion Genetic research Genetic screening Heterogeneity Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Innovations Life Sciences Light microscopy Mass Spectrometry Methods Mice Microscope and microscopy Microscopy Molecular biology Proteomics Tissues
ISSN:	1548-7091, 1548-7105, 1548-7105
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Abstract	An approach to fuse images from imaging mass spectrometry and microscopy provides biological insights into molecular tissue distributions beyond what can be obtained from either modality individually. We describe a predictive imaging modality created by 'fusing' two distinct technologies: imaging mass spectrometry (IMS) and microscopy. IMS-generated molecular maps, rich in chemical information but having coarse spatial resolution, are combined with optical microscopy maps, which have relatively low chemical specificity but high spatial information. The resulting images combine the advantages of both technologies, enabling prediction of a molecular distribution both at high spatial resolution and with high chemical specificity. Multivariate regression is used to model variables in one technology, using variables from the other technology. We demonstrate the potential of image fusion through several applications: (i) 'sharpening' of IMS images, which uses microscopy measurements to predict ion distributions at a spatial resolution that exceeds that of measured ion images by ten times or more; (ii) prediction of ion distributions in tissue areas that were not measured by IMS; and (iii) enrichment of biological signals and attenuation of instrumental artifacts, revealing insights not easily extracted from either microscopy or IMS individually.
AbstractList	We describe a predictive imaging modality created by 'fusing' two distinct technologies: imaging mass spectrometry (IMs) and microscopy. IMS-generated molecular maps, rich in chemical information but having coarse spatial resolution, are combined with optical microscopy maps, which have relatively low chemical specificity but high spatial information. The resulting images combine the advantages of both technologies, enabling prediction of a molecular distribution both at high spatial resolution and with high chemical specificity. Multivariate regression is used to model variables in one technology, using variables from the other technology. We demonstrate the potential of image fusion through several applications: (i) 'sharpening' of IMs images, which uses microscopy measurements to predict ion distributions at a spatial resolution that exceeds that of measured ion images by ten times or more; (ii) prediction of ion distributions in tissue areas that were not measured by IMS; and (iii) enrichment of biological signals and attenuation of instrumental artifacts, revealing insights not easily extracted from either microscopy or IMS individually. Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping instrumental614 and chemical answers15,16, whereas broad computational approaches capable of handling the heterogeneity and multiresolution challenges have been largely lacking. As a result, biological insights can be segregated along technological borders, and important structural information may be overlooked. We describe a predictive imaging modality created by 'fusing' two distinct technologies: imaging mass spectrometry (IMS) and microscopy. IMS-generated molecular maps, rich in chemical information but having coarse spatial resolution, are combined with optical microscopy maps, which have relatively low chemical specificity but high spatial information. The resulting images combine the advantages of both technologies, enabling prediction of a molecular distribution both at high spatial resolution and with high chemical specificity. Multivariate regression is used to model variables in one technology, using variables from the other technology. We demonstrate the potential of image fusion through several applications: (i) 'sharpening' of IMS images, which uses microscopy measurements to predict ion distributions at a spatial resolution that exceeds that of measured ion images by ten times or more; (ii) prediction of ion distributions in tissue areas that were not measured by IMS; and (iii) enrichment of biological signals and attenuation of instrumental artifacts, revealing insights not easily extracted from either microscopy or IMS individually.We describe a predictive imaging modality created by 'fusing' two distinct technologies: imaging mass spectrometry (IMS) and microscopy. IMS-generated molecular maps, rich in chemical information but having coarse spatial resolution, are combined with optical microscopy maps, which have relatively low chemical specificity but high spatial information. The resulting images combine the advantages of both technologies, enabling prediction of a molecular distribution both at high spatial resolution and with high chemical specificity. Multivariate regression is used to model variables in one technology, using variables from the other technology. We demonstrate the potential of image fusion through several applications: (i) 'sharpening' of IMS images, which uses microscopy measurements to predict ion distributions at a spatial resolution that exceeds that of measured ion images by ten times or more; (ii) prediction of ion distributions in tissue areas that were not measured by IMS; and (iii) enrichment of biological signals and attenuation of instrumental artifacts, revealing insights not easily extracted from either microscopy or IMS individually. An approach to fuse images from imaging mass spectrometry and microscopy provides biological insights into molecular tissue distributions beyond what can be obtained from either modality individually. We describe a predictive imaging modality created by 'fusing' two distinct technologies: imaging mass spectrometry (IMS) and microscopy. IMS-generated molecular maps, rich in chemical information but having coarse spatial resolution, are combined with optical microscopy maps, which have relatively low chemical specificity but high spatial information. The resulting images combine the advantages of both technologies, enabling prediction of a molecular distribution both at high spatial resolution and with high chemical specificity. Multivariate regression is used to model variables in one technology, using variables from the other technology. We demonstrate the potential of image fusion through several applications: (i) 'sharpening' of IMS images, which uses microscopy measurements to predict ion distributions at a spatial resolution that exceeds that of measured ion images by ten times or more; (ii) prediction of ion distributions in tissue areas that were not measured by IMS; and (iii) enrichment of biological signals and attenuation of instrumental artifacts, revealing insights not easily extracted from either microscopy or IMS individually.
Audience	Academic
Author	Spraggins, Jeffrey Caprioli, Richard M Yang, Junhai Van de Plas, Raf
Author_xml	– sequence: 1 givenname: Raf surname: Van de Plas fullname: Van de Plas, Raf organization: Mass Spectrometry Research Center, Vanderbilt University, Department of Biochemistry, Vanderbilt University, Delft Center for Systems and Control, Delft University of Technology – sequence: 2 givenname: Junhai surname: Yang fullname: Yang, Junhai organization: Mass Spectrometry Research Center, Vanderbilt University, Department of Biochemistry, Vanderbilt University – sequence: 3 givenname: Jeffrey surname: Spraggins fullname: Spraggins, Jeffrey organization: Mass Spectrometry Research Center, Vanderbilt University, Department of Biochemistry, Vanderbilt University – sequence: 4 givenname: Richard M surname: Caprioli fullname: Caprioli, Richard M email: richard.m.caprioli@vanderbilt.edu organization: Mass Spectrometry Research Center, Vanderbilt University, Department of Biochemistry, Vanderbilt University, Department of Chemistry, Vanderbilt University, Department of Pharmacology, Vanderbilt University, Department of Medicine, Vanderbilt University
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/25707028$$D View this record in MEDLINE/PubMed
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Snippet	An approach to fuse images from imaging mass spectrometry and microscopy provides biological insights into molecular tissue distributions beyond what can be... We describe a predictive imaging modality created by 'fusing' two distinct technologies: imaging mass spectrometry (IMS) and microscopy. IMS-generated... We describe a predictive imaging modality created by 'fusing' two distinct technologies: imaging mass spectrometry (IMs) and microscopy. IMS-generated... Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping instrumental614 and chemical answers15,16, whereas...
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SubjectTerms	631/114/1564 631/114/2401 631/1647/245/2160 631/1647/527/296 82/58 Animals Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Brain - ultrastructure Fusion Genetic research Genetic screening Heterogeneity Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Innovations Life Sciences Light microscopy Mass Spectrometry Methods Mice Microscope and microscopy Microscopy Molecular biology Proteomics Tissues
Title	Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping
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