@inproceedings{4a865bc9f5d64cc9bf7a227dcc3c25d9,
title = "Fluorescence and multiphoton imaging of a mouse model of spontaneous ovarian cancer",
abstract = "Ovarian cancer is the deadliest gynecologic cancer, but can be addressed with early detection. We investigate fluorescence and multiphoton imaging for imaging ovarian cancer, finding that tissue changes can be detected through quantitative analysis.",
author = "Sawyer, {Travis W.} and Koevary, {Jennifer W.} and Rice, {Photini F.S.} and Barton, {Jennifer K.}",
note = "Publisher Copyright: {\textcopyright} 2019 OSA - The Optical Society. All rights reserved.; Bio-Optics: Design and Application, BODA 2019 ; Conference date: 14-04-2019 Through 17-04-2019",
year = "2019",
doi = "10.1364/BODA.2019.DT1B.3",
language = "English (US)",
series = "Optics InfoBase Conference Papers",
publisher = "OSA - The Optical Society",
booktitle = "Bio-Optics",
}