Summary of study ST001857

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001171. The data can be accessed directly via it's Project DOI: 10.21228/M8BM4Q This work is supported by NIH grant, U2C- DK119886.


This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

Show all samples  |  Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data (Contains raw data)
Study IDST001857
Study TitlePeak Learning of Mass Spectrometry Imaging Data Using Artificial Neural Networks (Prostate tissue)
Study SummaryThe human prostate tissue sample was analyzed by 2D MALDI FT ICR MSI. For detailed information we refer to the msiPL manuscript by Abdelmoula et al.
Brigham and Women’s Hospital
Last NameAbdelmoula
First NameWalid
Address60 Fenwood RD, Boston, MA
Submit Date2021-06-20
Raw Data AvailableYes
Raw Data File Type(s)h5
Analysis Type DetailMALDI
Release Date2021-07-18
Release Version1
Walid Abdelmoula Walid Abdelmoula application/zip

Select appropriate tab below to view additional metadata details:


Collection ID:CO001927
Collection Summary:As stated in the msiPL paper: "Briefly, 12 µm thickness prostate sample diagnosed with a Gleason score of (3+4)=7 were mounted on a microscopy glass slide and coated with CHCA (5 mg/mL in 70/30 methanol/water with 0.1% trifluoroacetic acid V/V) using an automated sprayer (TM-Sprayer, HTX Imaging, Carrboro, NC). The analysis of the samples was performed on a 9.4 Tesla SolariX XR FT ICR mass spectrometer (Bruker Daltonics, Billerica, MA) using the MALDI source in positive ion mode in the mass range between 250-1000 m/z, with a spatial resolution of 120 µm."
Sample Type:Prostate