Diane Simeone

发表

Photon-tissue interaction model enables quantitative optical analysis of human pancreatic tissues

William R. Lloyd, Malavika Chandra, Mary-Ann Mycek, 2010, Optics express.

Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: Accurate detection of CA19‐9 levels in pancreatic cancer

Gordon B Mills, Doris R Siwak, David C Whitcomb, 2008, Proteomics.

Spectral areas and ratios classifier algorithm for pancreatic tissue classification using optical spectroscopy.

Malavika Chandra, Mary-Ann Mycek, James Scheiman, 2010, Journal of biomedical optics.

Optical spectroscopy detects histological hallmarks of pancreatic cancer.

Malavika Chandra, Mary-Ann Mycek, James Scheiman, 2009, Optics express.

Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays

Dean Brenner, Brian B Haab, R. Brand, 2007, Nature Methods.

Characterizing human pancreatic cancer precursor using quantitative tissue optical spectroscopy.

William R. Lloyd, Malavika Chandra, Mary-Ann Mycek, 2013, Biomedical optics express.

Accurate molecular classification of human cancers based on gene expression using a simple classifier with a pathological tree-based framework.

Sharon L R Kardia, Stephen B Gruber, Donald R Schwartz, 2003, The American journal of pathology.

Probing pancreatic disease using tissue optical spectroscopy.

Malavika Chandra, Mary-Ann Mycek, James Scheiman, 2007, Journal of biomedical optics.

Human pancreatic acinar cells do not respond to cholecystokinin.

B. Ji, C. Logsdon, D. Simeone, 2002, Pharmacology & toxicology.

In vivo optical spectroscopy for improved detection of pancreatic adenocarcinoma: a feasibility study.

William R. Lloyd, Malavika Chandra, Mary-Ann Mycek, 2013, Biomedical optics express.