To combine the video streams from all the cameras and retrieve 3D behavioural information across space and time, “our methods link physics with machine learning.
Zhou, a postdoctoral researcher at Horstmeyer’s group and the paper’s lead author, stated, “We’ve created new algorithms that can successfully handle these incredibly big video files. However, the MCAM’s highly parallelized design poses its own data processing difficulties because only a few minutes of recording can generate over a terabyte of data. The microscope can now capture 3D measurements and deliver more information thanks to revolutionary software that builds on recent work done in close cooperation with Dr. The most recent iteration of MCAM uses 54 lenses that are faster and more precise than the prototype that discovered Waldo. The technology is giving researchers all over the world new opportunities by capturing 3D movies of the behaviour of several freely swimming zebrafish or the grooming activity of fruit flies in close to cellular-level detail across a very large field of view. Horstmeyer and his colleagues demonstrate the possibilities of their brand-new high-speed, 3D, gigapixel microscope termed a Multi Camera Array Microscope in a publication published online today (March 20) in the journal Nature Photonics (MCAM).
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