We present efficient ways to examine angiogenesis hallmarks within the context of the CAM Assay in our latest use case. We explain how the IKOSA CAM Assay App helped us extract valuable information on a number of angiogenesis hallmarks such as (number of vessel branching points , total vessel length, vessel area, mean vessel thickness). If you want to know more check out our blogpost: https://www.kmlvision.com/ikosa-prisma-in-action-assessing-angiogenesis-hallmarks-within-the-cam-assay-model/ References: Bichlmayer, E. M., Mahl, L., Hesse, L., Pion, E., Haller, V., Moehwald, A., … & Haerteis, S. (2022). A 3D In Vivo Model for Studying Human Renal Cystic Tissue and Mouse Kidney Slices. Cells, 11(15), 2269. Faihs, L., Firouz, B., Slezak, P., Slezak, C., Weißensteiner, M., Ebner, T., … & Dungel, P. (2022). A Novel Artificial Intelligence-Based Approach for Quantitative Assessment of Angiogenesis in the Ex Ovo CAM Model. Cancers, 14(17), 4273. Kuri, P. M., Pion, E., Mahl, L., Kainz, P., Schwarz, S., Brochhausen, C., … & Haerteis, S. (2022). 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). Cells, 11(15), 2321. Links: Visit our website: www.kmlvision.com About the company: https://www.kmlvision.com/ KML Vision GmbH, Nikolaiplatz 4, 2nd floor, 8020 Graz, Austria Contact us: slideshare@kmlvision.com

1. Assessing angiogenesis
hallmarks within the CAM
Assay Model
IKOSA Prisma
in Action

2. ● One of the most popular in-vivo methods to study the
process of angiogenesis, angiogenic and anti-
angiogenic responses.
● Parameters to measure angiogenic response are:
○ Total vessel length
○ Total vessel area
○ Mean vessel thickness
○ Vessel branching point count.
● To overcome human bias an automated assessment
method is needed such as our CAM Assay Application.
The CAM Assay Model
Lets review the key points of the Chicken Embryo Chorioallantoic
Membrane Assay Model
All references can be found in the description box below.

3. Using our CAM Assay Application on the IKOSA
Platform allows you to examine the properties of a
vascular network and automatically analyze your
images.
We understand the need for reproducible, reliable
and accurate results in the life science industry.
For this reason, we demonstrate an easy approach
and simple, hassle-free AI-based method to gather
data from CAM experiments.
Goals
All references can be found in the description box below.

4. We used 5 representative CAM images out of a
sample consisting of 32 to assess the various
signs of angiogenic growth with the context of the
CAM model. All sample images were kindly
provided by Dr. Nassim Ghaffari Tabrizi-Wizsy and
Lorenz Faihs M.D., who are doing pioneering work
in the field of angiogenesis research.
Materials and
Methods
All references can be found in the description box below.

5. ● Image type: 2D, time series, multichannel, z-stack
● Color channels: 3 RGB or 1 Gray
● Color depth per channel: 8 bit
● Size: WSI formats, standard images
● Resolution: typically 1-7 μm/px
Main requirements:
After gathering the sample images,
we had a closer look at the
characteristics of our data to see if
the requirements to run the CAM
Assay App have been met.
Checking Characteristics of the Data
Check out the CAM Assay App Documentation to find out
more about the required image data formats and modalities.
All references can be found in the description box below.

6. Other recommendations
All references can be found in the description box below.
● We recommend vessel thickness to be
between 3 and 220 pixels.
● The vessels have to be in focus.
● Avoid images with reflections and other
artefacts.

7. After all requirements have been met, we uploaded the
images into our project and:
1. Selected 5 images
2. Started the analysis
3. Downloaded the analysis results
It took us about 25 minutes to prepare the data and
get the results.
Easy, isn’t it? ☺
Only 3 steps left
All references can be found in the description box below.

8. If you do not want to analyze the whole image, you can
also define Regions of Interest (ROI) on the images.
The analysis can then be performed on single or
multiple ROIs.
Regions of Interest (ROI)
All references can be found in the description box below.
NOTE: We didn’t use any ROIs in this use case example, because
we didn’t want to reduce the complexity of our image data.
You can find more information on ROIs in our
Knowledge Base

9. The CAM Assay App automatically provides a ready-made CSV or Excel file to download. It contains
the results for the analyzed input images or ROIs.
Results
All references can be found in the description box below.
The table shows the calculated parameters for the analyzed images such as vessel total area, vessel total length, vessel mean
thickness, and the number of vessel branching points.

10. The visualization contains the following
information:
● Areas of detected vessels are shown in blue
overlay.
● Vessel paths are displayed as green lines.
● Vessel branching points are indicated by red
dots.
Visualization of results
All references can be found in the description box below.

11. By including images containing light artifacts in
the analysis, we were able to demonstrate how
well does the CAM Assay App perform.
The app runs rather smoothly on image data
slightly affected by the light reflections (top
image).
However, when the image is heavily covered with
“white spots” the performance drops (bottom
image).
Dealing with artifacts
All references can be found in the description box below. Analysis output of a CAM images slightly and heavily affected by
light artifacts (see red arrows).

12. There are several reasons how IKOSA can help you get ahead in your
angiogenesis research:
● Use an application with no required coding or AI experience,
tailored to your unique question.
● Save your team time by automating the analysis and gathering key
research parameters such as data on total length and mean
thickness of vessels.
● Reduce human error and bias by standardizing analysis methods.
Benefits of our CAM Assay App
All references can be found in the description box below.

13. Compare changes in the vascular network of the CAM:
● based on a control group and a treatment group.
● at different time points after treatment with an (anti-)angiogenic
substance.
● after treatment with different (anti-)angiogenic substances.
Train your own application with our specialized software solution
IKOSA AI, if your research design is more complex.
Enhance your research design
All references can be found in the description box below.

14. ● Scan the QR code to read our use case or
copy the link in the slides description.
● Sign up for a free IKOSA account at
app.ikosa.ai
Learn more about our CAM
Assay Application