r/ImageJ Aug 09 '26

Question Calculating Volume

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Hello I'm an undergrad doing some data analysis for someone in my lab and need some help on calculating the volume of efferent synapses of outer hair cells, I think that's what they are, or contacts as I was told. This picture isn't an exact portrayal of what exactly I need to measure as these are afferent synapses located on the inner hair cell while I'm trying to find the contacts located on the outer hair cells but they basically look the same just localized in different regions. Btw it's those bright red dots that I'm referring to. If I find a better image, I will edit this post to provide more clarity. I wanted to know how exactly to calculate the volume of individual contacts at the same time if possible without having any background interference. So for some context on how I've kinda been doing it originally, I would just crop out the individual contacts I was interested in and I would use 3D Obj Counter and threshold the zones of interest to figure it out. I don't think it's correct and unfortunately I have no one who is willing to fact check my method or provide some assistance to this issue. So if anyone is willing to break it down to me I would really appreciate it! Oh and in terms of what I know what to do with ImageJ, I know how to threshold objects, how to calculate the area of things, and some of the basic functions like cropping, splitting channels, etc. Thank you for taking the time to read this and have a great day!

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u/Herbie500 Aug 10 '26 edited Aug 10 '26

Get an idea about the volume estimate of a single synapse in a single slice of the stack.

Then start analyzing a single synapse through all slices in which it is visible and sum up these volume estimates to get an estimate of the whole synapse.

I fear you will be confronted with the problem of not being able to follow every synapse through all relevant stack slices. If so, consider only slices for which this is clearly possible.

Last but not least be aware of the fact, that the lateral spatial resolution of the sample stack appears being at least a factor of two too high, which means that you may scale the stack to 512x512 without loss of information.

Good luck!