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UltravioletPhotography

Some food


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Herre are some foods captured a while ago with Nikon 105mm f/4 @ f/8 on my D7100 at ISO.100, exposure times typically 8 sec (range 4-30 sec), except the egg and breakfast plate that was captured with my 55mm f/3.5 AI Micro Nikkor. Warm LED bulbs were used to light most of the vis. images. For UVIVF images a Tank007 TK-566 with a ZWB1 2mm thick filter on the front and an L39 filter on the lens were used. WB was left on Auto.

 

First, tomatoes on the stalk where they grow, shades were pulled strongly for the UVIVF version as they otherwise were really dark and almost invisible:

#1

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Internals of another specimen is brighter in UVIVF though:

#2

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Sliced cucumber in UVIVF:

#3

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Strawberries etc.

#4

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Orange:

#5

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Soft boiled eggs ready for breakfast:

#6

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Well I did eat the eggs even after seeing the UVIVF image :) ; here is the whole breakfast plate with Norwegian style open sandwiches, also with smoked Alaskan wild salmon and blackberry jam. Interesting how the home baked whole wheat bread and fish oil supplements light up in UVIVF:

#7

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Mark, thanks for the comment. Yes that internal pattern of the strawberry is certainly enhanced in UVIVF. I also find the green-yellow intense glow near the stalk intriguing.
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Andy Perrin
Yes, the strawberry was my favorite here. I'm sure kiwis also do interesting things. Clearly a strawberry kiwi plate is called for on scientific grounds...
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More interesting food! I'm fascinated by the eggs. And also love the chlorophyll fluorescence (presumably?!) in the cucumber. Thanks for posting all.

Of course, the Norwegian-style open-face sandwiches remind me of similar treats I had when visiting there. "-)

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Thanks for further comments all of you.

 

Since we are on to food, let me just for fun show some more images that isn't due to excitation by UV but some other "wavelengths". I hope that is OK although it is on the side. The images are still formed based on an emitted signal. I learnt a little about the use this "camera" a year or so back, and got some chance to practice on it. Images were acquired around Halloween so of course it had to include a pumkin. I had some help in the data collection of the pumpkin, but processed the images myself to my liking. In some respects this resembles a hologram; image #3 should give some good clues as to what it is.

#1

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#2

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#3

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Since it was around Halloween, I had to "carve" out the pumpkin:

#4

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Then let us round off with some more groceries in the same league, I acquired this one by myself:

#5

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A view from the other side:

#6

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All wavelengths in any medium are welcomed!

 

I'm really just guessing but perhaps sonogram or echogram images? I'm really not sure, but quite like the images.

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Thanks for comments and guesses; yes the images were captured with the 1.5 Tesla MRI scanner that we have in the molecular imaging center at Institute of Arctic Biology. I was sitting in on an MRI class when I captured #5-#6 during a practice lab. The pumpkin data were acquired by our facility manager. I used MRIcroGL to process and manipulate the DICOM files in 3D space. The signals for excitation are very strong but short radio frequency (RF) pulses in combination with quickly changing magnetic gradients. The emitted signals are electromagnetic signals in the 64 MHz range picked up by RF antennas. Of course all kinds of safety precautions must be taken when working in the intense static magnetic field. (The super cooled magnet is always on!) The image forming process is really interesting. The data of a pumkin slice looks like this in K-space, where different frequencies (resolution/contrast) are represented from center towards periphery:

K-space-pumkin-001.jpg.be31c431a89877aecda4499e6758de2e.jpg

 

Then a two dimensional Fourier transform converts it to image data that are saved as a slice into the DICOM files. For most of the images, 3D scans that record from "pixels" (voxels) with the same dimensions in all directions were used (3DFFE, distance between slices sames as voxel to voxel distance so that they can easily be transformed to 3D space). In #3 a different scan sequence (T1) with longer slice distance were used, thus the vertical resolution is much lower. Then these image data can be cut and manipulated in 3D space to ones liking.

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