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Rapid MALDI mass spectrometry imaging for surgical pathology.
Basu, Sankha S; Regan, Michael S; Randall, Elizabeth C; Abdelmoula, Walid M; Clark, Amanda R; Gimenez-Cassina Lopez, Begoña; Cornett, Dale S; Haase, Andreas; Santagata, Sandro; Agar, Nathalie Y R.
Afiliação
  • Basu SS; 1Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
  • Regan MS; 2Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
  • Randall EC; 3Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
  • Abdelmoula WM; 2Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
  • Clark AR; 2Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
  • Gimenez-Cassina Lopez B; 2Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
  • Cornett DS; Bruker Daltonics, Billerica, MA 01821 USA.
  • Haase A; 5Bruker Daltonik GmbH, Bremen, Germany.
  • Santagata S; 1Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.
  • Agar NYR; 6Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115 USA.
NPJ Precis Oncol ; 3: 17, 2019.
Article em En | MEDLINE | ID: mdl-31286061
ABSTRACT
Matrix assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) is an emerging analytical technique, which generates spatially resolved proteomic and metabolomic images from tissue specimens. Conventional MALDI MSI processing and data acquisition can take over 30 min, limiting its clinical utility for intraoperative diagnostics. We present a rapid MALDI MSI method, completed under 5 min, including sample preparation and analysis, providing a workflow compatible with the clinical frozen section procedure.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article