Measuring epithelium thickness using imageJ {HELP]


#1

dear all,

Please let introduce myself: my name is Antonio II, and Im new in worlds measuring by software.

I was heard about ImageJ just some weeks ago while Im looking for some video tutorials on Youtube.

I was marvelled with such usabillities. But I don’t know how to start about measuring epithelium thickness.

Well, I know. Maybe its a siily question. But im just a newbie about this subject.

Can someone help me?

Thanks in advance


#2

Good day Antonio,

a typical image may help to understand what you like to do.

Please post an original raw image in TIFF- or PNG-format and perhaps the same image with graphic annotations that clearly show what you like to determine or measure.

Regards

Herbie


#3

Herbie,

thank you for your reply.

Well, I would like to take three measures (from basal lamina to cornea) by choosing three random points.

Please, take a look at the pic:

One more question:

Is it possible to calculate the average of the three measurements using ImageJ?

Yeah, as a said, it might be silly, but I’m still a newbie.

Thanks in advance


#4

Antonio,

if this is a typical image, which shows good (color-)contrast, you could either measure by hand using the line tool or by defining the x-positions and analyzing the profiles.

Please study the ImageJ user guide:
https://imagej.nih.gov/ij/docs/guide/index.html

Yes, ImageJ macros can compute the mean values.

Have a look at these documents about macro coding:
https://imagej.nih.gov/ij/developer/macro/macros.html
https://imagej.nih.gov/ij/developer/macro/functions.html

Here is a contour appproach:
http://forum.imagej.net/t/accessible-surface/8202/4?u=herbie

Finally, here is a thread dealing with a closely related question:
http://forum.imagej.net/t/analyzing-cell-layer-thickness/8045?u=herbie

Regards

Herbie

PS:
The provided sample image shows strong JPG-compression artifacts. Such images are unsuited for scientific analyses.
Please provide the original raw image in an uncompressed format. (The provided sample image is a PNG-version of an JPG-image.)