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GALLERY  -  GByte large scans, deep focus, and 3D images
1. A Cat brain whole slice scan (~16x12 mm) imaged with 4x objective.
     Rotated 180° to match the true objective view. Slide courtesy of U. Illinois Urbana-Champaign, School of Integrated Biology.
     Full image size 32000x30000, reduced for zoom view below to 21800 x 20125 
pix.

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2.  A whole Bee's Knee:
   View the zoomable large GB image (left), and an example 3D image (right).
- For zoom GB images below, click on 'full screen' for best viewing. This specimen is very thick! (up to ~380 um).
- HScope
 Z-scanning automatically captures images for both
high depth focus (left) and 3D imaging (right).
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Zoom all the way in... it's really interesting to see the detailed knee structures.
- Note, all images below are scientifically accurate with full control of the imaging pipeline.
Zoomable ultra-scale image (scroll to zoom, 15240x22153 pixels):
3D Z-stack image - Raw:
Contact us for the full 3D image: [email protected]
Picture

Full resolution  (note jpg artifacts, compressed for web).
​Contact us for large (tiff) uncompressed image examples.
Picture

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2. Large scale spinal chord cross-section (rat). Appx 3x2 mm, 20x, 7x5x6 tiles.
Zoom in for cellular-level detail. Full image 15273x13218 pixels.

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​3. Human knee meniscus cross-section. Phase + elliptically polarized:
Polarization enhances the collagen structures and  crimp patterns due to it's inherent birefringence.
Please zoom-in, and use full screen for best viewing.



​More examples: Large-scale GB images (zoom in) with various imaging modalities.  Click on full screen [X] for best viewing.
A pine needle stem, ~18000x11000 pixels. 20x, 7x4 tiles
​acquired in only 85 seconds.
   An Equine blood plasma sample in phase+polarized light.
   ~14000x8000 pixels (10x, reduced here 50p).
Equine blood plasma, 20x, huge size 20x20 mm, ~40000 x 33000 pixels.
Semi-phase light. 
Canine esophagus sample, ~11000 x 8000 pixels, 10x normal light.
4x3 scan acquired in under 45 seconds. 

Location

What Our Clients Are Saying

This is really incredible. Especially the freedom to program our own capture routines..."           Dan Miller Ph.D.,  UI Urbana-Champaign

​" This is the system we've been looking for...  for years now. "
   
Bing Yu, Ph.D., A.Prof, Marquette U. 

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