Academic Journal

Automatic Generic Registration of Mass Spectrometry Imaging Data to Histology Using Nonlinear Stochastic Embedding

التفاصيل البيبلوغرافية
العنوان: Automatic Generic Registration of Mass Spectrometry Imaging Data to Histology Using Nonlinear Stochastic Embedding
المؤلفون: Abdelmoula, Walid M., Skraskova, Karolina, Balluff, Benjamin, Carreira, Ricardo J., Tolner, Else A., Lelieveldt, Boudewijn P. F., van der Maaten, Laurens, Morreau, Hans, van den Maagdenberg, Arn M. J. M., Heeren, Ron M. A., McDonnell, Liam A., Dijkstra, Jouke
المصدر: Abdelmoula , W M , Skraskova , K , Balluff , B , Carreira , R J , Tolner , E A , Lelieveldt , B P F , van der Maaten , L , Morreau , H , van den Maagdenberg , A M J M , Heeren , R M A , McDonnell , L A & Dijkstra , J 2014 , ' Automatic Generic Registration of Mass Spectrometry Imaging Data to Histology Using Nonlinear Stochastic Embedding ' , Analytical Chemistry , vol. 86 , no. 18 , pp. 9204-9211 . https://doi.org/10.1021/ac502170f
سنة النشر: 2014
المجموعة: Maastricht University Research Publications
الوصف: The combination of mass spectrometry imaging and histology has proven a powerful approach for obtaining molecular signatures from specific cells/tissues of interest, whether to identify biomolecular changes associated with specific histopathological entities or to determine the amount of a drug in specific organs/compartments. Currently there is no software that is able to explicitly register mass spectrometry imaging data spanning different ionization techniques or mass analyzers. Accordingly, the full capabilities of mass spectrometry imaging are at present underexploited. Here we present a fully automated generic approach for registering mass spectrometry imaging data to histology and demonstrate its capabilities for multiple mass analyzers, multiple ionization sources, and multiple tissue types.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1021/ac502170f
الاتاحة: https://cris.maastrichtuniversity.nl/en/publications/a00825e5-d99f-4fb2-9fef-d8d7c68cb3af
https://doi.org/10.1021/ac502170f
Rights: info:eu-repo/semantics/closedAccess
رقم الانضمام: edsbas.85FEA632
قاعدة البيانات: BASE