Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI)

Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI)

(1) Background: angiogenesis plays an important role in the growth and metastasis of tumors. We established the CAM assay application, an image analysis software of the IKOSA platform by KML Vision, for the quantification of blood vessels with the in ovo chorioallantoic membrane (CAM) model. We adde...

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Bibliographic Details
Main Authors: Paulina Mena Kuri, Eric Pion, Lina Mahl, Philipp Kainz, Siegfried Schwarz, Christoph Brochhausen, Thiha Aung, Silke Haerteis
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Cells
Subjects:
3D in vivo tumor model
chorioallantoic membrane (CAM)
angiogenesis
tumor
laser speckle contrast imaging
image analysis software
Online Access:https://www.mdpi.com/2073-4409/11/15/2321

Internet

https://www.mdpi.com/2073-4409/11/15/2321

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