Auto Fluorescence + 3D Deconvolution - Set 1

Images made through a microscope. All subject types.

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RogelioMoreno
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Auto Fluorescence + 3D Deconvolution - Set 1

Post by RogelioMoreno »

I have been testing the trial versions of cellSens and Autoquant X3 to try to get better resolutions from my fluorescence stacks.

With each specimen stack you have to try all the projections that the software gives (Sum, Max, Mean, EFI) and you as artist have to choose the one that you like more. Not all the specimen gives better stack than the one you can get with stack software as Zerere or Helicon.

The following is the first set of the results. In the coming days I will publish the beauties set (Micrasterias, Closterium and Pediastrum).

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Spirogyra by Rogelio Moreno G., on Flickr

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Butterfly scale by Rogelio Moreno G., on Flickr

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Rotifer by Rogelio Moreno G., on Flickr

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Phacus by Rogelio Moreno G., on Flickr

Rogelio

Litonotus
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Post by Litonotus »

first one is outstanding! I can hardly wait for more.
my FB page

I'm looking for the the extemely rare V-IM magnification changer for the E800 scope. If you have seen a listing or have one for sale please let me know.

pierre
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Auto Fluorescence + 3D Deconvolution - Set 1

Post by pierre »

Impressive results Rogelio :shock:
Regards

Pierre

Marek Mis
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Post by Marek Mis »

Very interesting and impressive images !

Marek

Charles Krebs
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Post by Charles Krebs »

Yes, impressive. The spirogyra is beautiful.

arturoag75
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Post by arturoag75 »

:shock: :shock: wow

René
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Post by René »

Stunning indeed, Rogelio!

René

Fredlab
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Post by Fredlab »

First one is incredible.
Thanks for sharing.
I apologise for my poor english
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RogelioMoreno
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Post by RogelioMoreno »

Thank you very much for your comments- :D

Rogelio

Jacek
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Post by Jacek »

:shock: :shock: :shock:

pwnell
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Post by pwnell »

These are really good. How large image do you send to these applications? I found that Autoquant takes approximately 8 hours to deconvolve using spherical aberration detection a set of 40 x 110MB TIFF images at 5400 x 3500 pixels - this on a machine with 28GB RAM and fast 3.5GHz i7 processor.

Also, cellSens always crashed on me if any image stack had images larger than about 2048 x 2048.

RogelioMoreno
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Post by RogelioMoreno »

Thank you for your comments.

Waldo, I have the same memory problem. Sometime cellSens crashed with Internal error. To avoid the memory problem I send 8 bits tif (instead of 16bits tif) to AutoQuant, then I crop the area of interest and finally a resize of the image (only if the amount of memory available is not enough to do the stack).

My dataset are normally around 2000 x 2000 x 24 slides.

Rogelio

Pau
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Post by Pau »

Rogelio, Waldo,

Have you tried deconvolution with no fluorescence images like DIC or darkfield?. It may be great if it works
Pau

RogelioMoreno
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Post by RogelioMoreno »

Pau,

I did try some DIC and polarized and I did not like the results (to ugly for my taste), I also did try a darkfield (I like more the normal stack version); but I have to try more darkfield because darkfield is like fluorescence.

Rogelio

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