Details
| Originalsprache | Englisch |
|---|---|
| Herausgeber (Verlag) | SPIE |
| Medium | Online |
| Publikationsstatus | Veröffentlicht - 6 März 2023 |
| Veranstaltung | SPIE BiOS 2023 - San Francisco, USA / Vereinigte Staaten Dauer: 1 Feb. 2023 → 2 Feb. 2023 |
Abstract
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Publikation: Nicht-textuelle Medien › Audiovisuelle Veröffentlichung › Forschung
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TY - ADVS
T1 - Correlative imaging and quantification of the tumor microenvironment of triple-negative-breast-cancer using lightsheet microscopy, scanning laser optical tomography, and TPEF
AU - Kamin, Hannes
AU - Nolte, Lena
AU - Maurer, Jochen
AU - Stickeler, Elmar
AU - Heinemann, Dag
AU - Heisterkamp, Alexander
AU - Johannsmeier, Sonja
AU - Ripken, T.
PY - 2023/3/6
Y1 - 2023/3/6
N2 - The triple-negative breast cancer is an aggressive subtype that has a high rate of relapse and a poor five-year survival rate. The Tumor Microenviroment influences the behaviors such as proliferation, migration and the formation of metastasis. We present the complementary imaging and subsequent analysis of the Tumor Microenviroment using Lightsheet Microscopy, Scanning Laser Optical Tomography and TPEF. The samples were imaged in different size and resolution scales and the three-dimensional information is obtained using the SHG-signal of collagen and fluorescence of labeled key markers. The results presented here may help to create a patient specific model of breast cancer.
AB - The triple-negative breast cancer is an aggressive subtype that has a high rate of relapse and a poor five-year survival rate. The Tumor Microenviroment influences the behaviors such as proliferation, migration and the formation of metastasis. We present the complementary imaging and subsequent analysis of the Tumor Microenviroment using Lightsheet Microscopy, Scanning Laser Optical Tomography and TPEF. The samples were imaged in different size and resolution scales and the three-dimensional information is obtained using the SHG-signal of collagen and fluorescence of labeled key markers. The results presented here may help to create a patient specific model of breast cancer.
U2 - 10.1117/12.2648373
DO - 10.1117/12.2648373
M3 - Audiovisual publication
PB - SPIE
T2 - SPIE BiOS 2023
Y2 - 1 February 2023 through 2 February 2023
ER -