Application Name

Spheroid Sprouting Assay

Version

1.0.0

Documentation Version

22.05.2020 - 1

Input Image(s)

2D (standard); RGB and grayscale (RGB images are automatically converted to grayscale images)

Input Parameter(s)

None

Keywords

Spheroid, sprouting, sprout, formation, in-vitro, angiogenesis, vessel, growth, microscopy

Short Description

Detection and quantification of sprouts in a spheroid capillary sprouting assay used for in-vitro angiogenesis research.

References / Literature

For more information regarding the assay check e.g. https://www.ncbi.nlm.nih.gov/pubmed/23911327;

Reference laboratory: Department of Obstetrics and Gynecology: Dr. Ursula Hiden; Jasmin Strutz, MSc;

2D (standard)

Check image format File formats

1 (Grayscale)

3 (RGB)

RGB images are automatically converted to grayscale images

8 Bit

16 Bit

Min: 1280 x 1280

Max: 4096 x 4096

typically: 0.5 - 1.0

Image content

Transmitted light microscopy image of spheroid capillary sprouting assay, typically taken with 10x magnification. In case of multiple bodies in the image, the body closest to the image center is detected and used for sprout analysis.

Additional requirements: None

csv

results.csv:

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

jpg

results_visualization.jpg:

A visualization of the detection:

• The segmented body is shown in yellow, while different sprouts are shown in different other colors.

• In case of multiple bodies in the image, the body closest to the image center is detected and used for sprout analysis..

• The skeleton, which is used to calculate the sprouting length, is shown in red.

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1

total length sprouts [Px]

104

0 -

Total length of all sprouts in pixels.

2

number of sprouts

26

0 - 

Number of detected sprouts.

3

body area [Px^2]

58775

0 -

Area of body in pixels^2.

4

body circularity

0.7644

0 - 1

Circularity of the body calculated as

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where A denotes the area of the body and P the perimeter of the body.

Note: Due to the discrete nature of images, the calculation of the perimeter can only be approximated. Therefore, the circularity of a body being a circle, results in a value of approximately 0.9. Theoretically, a circle has a value of 1.0. [1]

[1] Bottema, Murk J. "Circularity of objects in images." 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No. 00CH37100). Vol. 4. IEEE, 2000.