Software LoCA analysis

[ray_parkhurst]

Is there a way, using Zerene or Helicon or other software, to analyze the LoCAs of an optical system? If there is no canned method, then what is the best method to remove the RG, RB, and BG info from a given image file so that the resulting monochromatic images can be 3D analyzed?

I've done RGB analysis to show the focal planarity of objectives, but have not done so for individual R, G, and B channels. It might be useful to have this capability for analysis of LoCAs in both finite and infinite systems. Might help answer the questions about best tube lenses for a given finite objective, for example.

[rjlittlefield]

In quick search, the most relevant thing I found was https://smallpond.ca/jim/photomicrography/focusAnalyser/howto.html .

It uses a web-based tool located at https://smallpond.ca/jim/photomicrography/focusAnalyser/index.html .

I checked that the tool seems to be live, but did not attempt to test it with an image of my own.

The tool's approach of analyzing blur at all points along a single image of a slanted edge seems ideal for characterizing LoCA.

I am not aware of any way to do this analysis in Zerene Stacker or Helicon Focus that would be nearly as simple or robust as the focusAnalyzer tool.

However, if you do want to try leveraging your previous experience by extracting individual channels, then I suggest creating a Photoshop action that does this:

• Open color image
• Select "Channels" tab in Layers/Channels/Paths panel
• Click to turn off the "eye" icon on the Red/Green/Blue channels that you do not want.
• Image > Mode > GrayScale
• Save resulting grayscale image.

--Rik

[ray_parkhurst]

In quick search, the most relevant thing I found was https://smallpond.ca/jim/photomicrography/focusAnalyser/howto.html .

It uses a web-based tool located at https://smallpond.ca/jim/photomicrography/focusAnalyser/index.html .

I checked that the tool seems to be live, but did not attempt to test it with an image of my own.

The tool's approach of analyzing blur at all points along a single image of a slanted edge seems ideal for characterizing LoCA.

I am not aware of any way to do this analysis in Zerene Stacker or Helicon Focus that would be nearly as simple or robust as the focusAnalyzer tool.

However, if you do want to try leveraging your previous experience by extracting individual channels, then I suggest creating a Photoshop action that does this:

• Open color image
• Select "Channels" tab in Layers/Channels/Paths panel
• Click to turn off the "eye" icon on the Red/Green/Blue channels that you do not want.
• Image > Mode > GrayScale
• Save resulting grayscale image.

--Rik

Thanks for the info. I'll give the channel analysis method a go. If I were a programmer it does not seem too difficult to make a routine to do this, with the result being a 2D map of the LoCA, though I suppose there would be 3 2D maps required, depending on how the data was presented. IMO it would be an excellent analysis tool.

[Smokedaddy]

I wonder if ImageJ has that ability. Maybe ask in their forum.

https://bioimagebook.github.io/chapters ... magej.html

https://forum.image.sc/t/classifying-mi ... rning/9942

-JW: