Welcome to the Multi-Camera Array Microscope (MCAM) project webpage! Here, we describe a new class of microscope that we have been exploring over the past couple of years at the Computational Optics Lab at Duke University. This technology is also being developed by Ramona Optics – a start-up located right next to Duke. 


CHECKOUT THE MCAM IN ACTION:

overview

MCAM Acquisition pipeline
In its simplest form, the multi-camera array microscope (MCAM) is an array of many miniaturized digital microscopes, which acquire synchronized video in parallel. We use a variety of algorithms to fuse the video data acquired by the MCAM into final “gigapixel”-scale composites, which opens up new avenues for scientific research. This technology is currently being commercialized by Ramona Optics in several forms, and it is being applied in a variety of new scientific contexts, as described in detail below.

EXAMPLES

The easiest way to understand the MCAM’s capabilities is to digitally interact with some example image and video data that contains nearly one gigapixel (1 billion pixels) per frame. Use the left/right arrows to progress within the video sequence. Many additional examples of gigapixel MCAM video data is available at our Gigaviewer webpage.
More examples of MCAM imagery and video can be found at our Gigaviewer webpage

DESIGNS

There are currently three primary MCAM designs, each with different performance  specifications. Please click on the designs below to explore more about each MCAM format and view additional data and specifications:
GIGACAM (MCAM-96):
  • Acquisition Rate: 0.96 GP/frame
  • Field of View: 16 x 24 cm
  • Resolution: 18 µm 
Falcon (MCAM-54):
  • Acquisition Rate: 0.70 GP/frame
  • Field of View: 8 x 12 cm
  • Resolution: 3-10 µm
Eagle (MCAM-48):
  • Acquisition Rate:  GP/frame
  • Field of View: 6 x 8 cm
  • Resolution: <1 µm 
We additionally have a number of videos that showcase the MCAM’s unique abilities posted on our group’s YouTube Channel, which we will continue to update as we continue to create new and exciting gigapixel-scale 3D videos!
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