Creation of a non-contact, automated brain tumor detection device for use in brain tumor resection

Matthew B. Tucker, Suzanna Joseph, Weston Ross, Guangshen Ma, Pakawat Chongsathidkiet, Peter Fecci, Patrick Codd

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The ability to differentiate healthy and tumorous tissue is vital during the surgical removal of tumors. This ability is especially critical during neurosurgical tumor resection due to the risk associated with removing healthy brain tissue. In this paper, we present an epifluorescence spectroscopy guided device that is not only capable of autonomously classifying a region of tissue as tumorous or healthy in real-time-but is also able to differentiate between different tumor types. For this study, glioblastoma and melanoma were chosen as the two different tumor types. Six mice were utilized in each of the three classes (healthy, glioblastoma, melanoma) for a total of eighteen mice. A "one-vs-the-all" approach was used to create a multi-class classifier. The multi-class classifier was capable of classifying with 100% accuracy. Future work includes increasing the number of mice in each of the three tumor classes to create a more robust classifier and expanding the number of tumor types beyond glioblastoma and melanoma.

Original languageEnglish
Title of host publicationClinical and Translational Neurophotonics 2020
EditorsSteen J. Madsen, Victor X. D. Yang, Nitish V. Thakor
ISBN (Electronic)9781510632134
StatePublished - 2019
Externally publishedYes
EventClinical and Translational Neurophotonics 2020 - San Francisco, United States
Duration: 1 Jan 2020 → …

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceClinical and Translational Neurophotonics 2020
Country/TerritoryUnited States
CitySan Francisco
Period1/01/20 → …


  • Brain Tumor
  • Cancer
  • Classification
  • Fluorescence


Dive into the research topics of 'Creation of a non-contact, automated brain tumor detection device for use in brain tumor resection'. Together they form a unique fingerprint.

Cite this