Application Name	CAM Grid Assay
Version	1.0.0
Documentation Version	10.10.2019 - 1
Input Image(s)	2D (standard)
Input Parameter(s)	None
Keywords	CAM, grid, onplant, chorioallantoic membrane, in-vivo, angiogenesis, chick, vessel, growth, microscopy, assay
Short Description	Segmentation of new blood vessels on polymerized grids (“onplants”) placed on chick chorioallantoic membrane assay used in in-vivo angiogenesis research.
References / Literature	For more information regarding the assay check e.g. https://www.ncbi.nlm.nih.gov/pubmed/19007659

IKOSA Prisma CAM Assay

You can use this image analysis application or any of our other applications in your account on the IKOSA platform. If it is not on the list of available applications, please contact your organization's administrator or our team at support@ikosa.ai.

Application description

This application automatically measures the number and sizes of blood vessels in microscopy images that are taken from CAM Assay samples. The application is optimized for detecting new blood vessels that grow through polymerized grids (onplants) placed on the CAM small vessels. Since the focus is on neoangiogenesis, larger vessels in the background are not detected.

In the following sections, we provide the necessary input data requirements that are necessary to obtain accurate image analysis results and a description of the output files.

Input data requirements

Input image(s)

Input for this application is the following image data:

Image type	Color channels	Color depth (per channel)	Size (px)	Resolution (μm/px)

Image type

Color channels

Color depth (per channel)

Size (px)

Resolution (μm/px)

2D (standard)

Check image format File formats

3 (RGB)

8 Bit

Min: 128 x 128

Max: 6680 x 5239

Min: 0.8

Max: 1.2

Image content

Microscopy image of CAM Assay region with typically 40x magnification and usage of polarization filter.

Additional requirements

The background must be yellow to orange, avoid red background.
Use a polarization filter while imaging.

Important:

For all images, the following requirements apply:

The illumination must be constant throughout the image(s).
The sample must be in focus, i.e. no blurry regions in image(s).

Input parameter(s)

No additional input parameters are required for this application.

Description of output files and their content

Files

	File format	Description

File format

Description

1

csv

results.csv

A csv file containing the analysis results for the input image.

2

jpg

results_visualization.jpg

A visualization of the detected vessels:

Areas of detected vessels are shown in blue overlay.
Vessel paths are shown as green lines.
Vessel branching points are indicated by red dots.

Content

results.csv

Single csv-file

Column NO.	Column name	Examples	Value range	Description

Column NO.	Column name	Examples	Value range	Description
1	Vessels_total_area [Px^2]	3668	0 - #of pixels in image	Total area covered by detected vessels in Pixel^2.
2	Vessels_total_length [Px]	12092	>=0	Total length of all detected vessels in pixels.
3	Vessels_mean_thickness [Px]	6.98	>=0	Mean thickness of detected vessels in pixels.
4	vessels_num_branching_points	776	>=0	Number of detected branching points..

Error information

More information about errors can be found in the Application Error Documentation.

Contact

If you have any questions about this app, as well as suggestions or ideas for new ones, email us at support@ikosa.ai.

Feel free to book a 30-minute meeting to speak with us about IKOSA and the apps!

https://calendly.com/kolaido/book-the-ikosa-platform-demo

IKOSA Knowledge Base

1.0.0 CAM Assay Application Documentation

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