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)

Abstract

(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 added this proprietary deep learning algorithm to the already established laser speckle contrast imaging (LSCI). (2) Methods: angiosarcoma cell line tumors were grafted onto the CAM. Angiogenesis was measured at the beginning and at the end of tumor growth with both measurement methods. The CAM assay application was trained to enable the recognition of in ovo CAM vessels. Histological stains of the tissue were performed and gluconate, an anti-angiogenic substance, was applied to the tumors. (3) Results: the angiosarcoma cells formed tumors on the CAM that appeared to stay vital and proliferated. An increase in perfusion was observed using both methods. The CAM assay application was successfully established in the in ovo CAM model and anti-angiogenic effects of gluconate were observed. (4) Conclusions: the CAM assay application appears to be a useful method for the quantification of angiogenesis in the CAM model and gluconate could be a potential treatment of angiosarcomas. Both aspects should be evaluated in further research.

Opposing MMP-9 Expression in Mesenchymal Stromal Cells and Head and Neck Tumor Cells after Direct 2D and 3D Co-Culture

“…To measure perfusion within 7 days, we used the laser-speckled contrast imaging system (LSCI). Pion et al and Mena Kuri et al demonstrated this system to be an easy-to-perform method to study blood flow rate in the CAM model [ 53 ].…”

“…For in vivo experiments, the chorioallantoic membrane (CAM) model was used, as previously described in Kuri et al [ 53 ] and Kohl et al [ 91 ]. Fertilized chicken eggs were incubated in a ProCon egg incubator (Grumbach, Aßlar, Germany) at a constant temperature of 37.8 °C and 63% humidity with occasional rotation.…”

Multi-parametric investigations on the effects of vascular disrupting agents based on a platform of chorioallantoic membrane of chick embryos

“…Normally the deep learning model requires microscopic CAM images for the analysis, and LSCI-CAM platform could just generate colorful Flux images. Whereas in a recent study, LSCI and IKOSA deep learning platform were designed and established as two independent methods for angiogenesis measurement ( 37 ).…”

Exploration of Chick Embryo and Chorioallantoic Membrane on Imaging Navigated Platforms for Anticancer Pharmaceutical Evaluations

“…31,32 This overview article aimed to summarize the recent attempts for studying the pharmaceutical effects of VDAs on both normal and tumoral vasculatures, as examples for anticancer vascular-targeting therapy. Based on the CE and CAM platforms, 3,33 relevant technical tools including modern imaging modalities such as MRI, MicroCT, digital radiography (DR), and quantitative LSCI [34][35][36] have been applied, in combination with AI technologies, 37 histomorphology, and immunohistopathology 38 at cellular and molecular levels.…”