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Electrical Engineering and Systems Science > Image and Video
Processing

arXiv:2212.00027 (eess)
[Submitted on 30 Nov 2022]

Title:Multi-scale gigapixel microscopy using a multi-camera array
microscope

Authors:Mark Harfouche, Kanghyun Kim, Kevin C. Zhou, Pavan Chandra
Konda, Sunanda Sharma, Eric E. Thomson, Colin Cooke, Shiqi Xu, Lucas
Kreiss, Amey Chaware, Xi Yang, Xing Yao, Vinayak Pathak, Martin
Bohlen, Ron Appel, Clare Cook, Jed Doman, Gregor Horstmeyer, Jaehee
Park, Paul Reamey, Veton Saliu, Eva Naumann, Roarke Horstmeyer
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    Abstract: This article experimentally examines different
    configurations of a novel multi-camera array microscope (MCAM)
    imaging technology. The MCAM is based upon a densely packed array
    of "micro-cameras" to jointly image across a large field-of-view
    at high resolution. Each micro-camera within the array images a
    unique area of a sample of interest, and then all acquired data
    with 54 micro-cameras are digitally combined into composite
    frames, whose total pixel counts significantly exceed the pixel
    counts of standard microscope systems. We present results from
    three unique MCAM configurations for different use cases. First,
    we demonstrate a configuration that simultaneously images and
    estimates the 3D object depth across a 100 x 135 mm^2
    field-of-view (FOV) at approximately 20 um resolution, which
    results in 0.15 gigapixels (GP) per snapshot. Second, we
    demonstrate an MCAM configuration that records video across a
    continuous 83 x 123 mm^2 FOV with two-fold increased resolution
    (0.48 GP per frame). Finally, we report a third high-resolution
    configuration (2 um resolution) that can rapidly produce 9.8 GP
    composites of large histopathology specimens.

Subjects: Image and Video Processing (eess.IV); Optics
          (physics.optics)
Cite as:  arXiv:2212.00027 [eess.IV]
          (or arXiv:2212.00027v1 [eess.IV] for this version)

Submission history

From: Kanghyun Kim [view email]
[v1] Wed, 30 Nov 2022 16:01:55 UTC (4,989 KB)
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