TY  - GEN
AB  - As a part of the Serial Measurements of Molecular and Architectural Responses to Therapy (SMMART) precision medicine cancer trial, serial biopsies from cancer patients are collected and analyzed to inform treatment and advance the understanding of metastatic cancer. As of now, manual segmentation is a major time limiting factor in EM image analysis for cancer tissue. In order to combat this, there are projects underway to develop machine learning algorithms to automate segmentation. Automation will hopefully allow electron microscope analysis to be a new and informative avenue for cancer research.
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AU  - Bueno, Cecilia
AU  - Riesterer, Jessica
AU  - Smith, Hannah
AU  - Machireddy, Archana
AU  - Stempinski, Erin
AU  - Loftis, Kevin
AU  - Stoltz, Kevin
AU  - Gray, Joe
DA  - 2021
DO  - 10.6083/m039k5667
DO  - DOI
ID  - 9197
KW  - Tumor Microenvironment
KW  - Image Processing, Computer-Assisted
KW  - Microscopy, Electron
KW  - Cell Communication
KW  - cancer
KW  - FIB-SEM
KW  - neoplasms
L1  - https://digitalcollections.ohsu.edu/record/9197/files/Bueno-Cecilia-OHSU-ResearchWeek-2021.pdf
L2  - https://digitalcollections.ohsu.edu/record/9197/files/Bueno-Cecilia-OHSU-ResearchWeek-2021.pdf
L4  - https://digitalcollections.ohsu.edu/record/9197/files/Bueno-Cecilia-OHSU-ResearchWeek-2021.pdf
LA  - eng
LK  - https://digitalcollections.ohsu.edu/record/9197/files/Bueno-Cecilia-OHSU-ResearchWeek-2021.pdf
N2  - As a part of the Serial Measurements of Molecular and Architectural Responses to Therapy (SMMART) precision medicine cancer trial, serial biopsies from cancer patients are collected and analyzed to inform treatment and advance the understanding of metastatic cancer. As of now, manual segmentation is a major time limiting factor in EM image analysis for cancer tissue. In order to combat this, there are projects underway to develop machine learning algorithms to automate segmentation. Automation will hopefully allow electron microscope analysis to be a new and informative avenue for cancer research.
PB  - Oregon Health and Science University
PY  - 2021
T1  - Taking a closer look: imaging tumor microenvironments with 3D FIB-SEM reveals complex cellular interactions
TI  - Taking a closer look: imaging tumor microenvironments with 3D FIB-SEM reveals complex cellular interactions
UR  - https://digitalcollections.ohsu.edu/record/9197/files/Bueno-Cecilia-OHSU-ResearchWeek-2021.pdf
Y1  - 2021
ER  -