Publication: Imaging across multiple spatial scales with the multi-camera array microscope

Written by
Apr 7, 2023
1 min read

We are excited to announce new research using Ramona’s Multi-Camera Array Microscopy (MCAM), published in Optica.

This paper examines different configurations of (MCAM) imaging technology, including simultaneously imaging and estimating the 3D object depth, recording video across a continuous 83×123mm 283×123mm2 FOV, and how a high-resolution configuration of the MCAM (2 µm resolution) can rapidly produce 9.8 GP composites of large histopathology specimens.

Diagram of tiled high-resolution MCAM with 4f imaging system. FOV of each lens–sensor pair is FOV𝑡=3.5mm. Blue boxes representing mechanical scanning are simplified for illustrative purposes. (b) Large-area simultaneous scan of multiple brain slices. The gray box shows the area where the sub-image edges meet.

Congratulations to lead authors, Mark Harfouche and Kanghyun Kim, our other collaborators at Duke’s Computational Optics Lab, and everyone else involved.

News

Publication: Imaging across multiple spatial scales with the multi-camera array microscope

We are excited to announce new research using Ramona’s Multi-Camera Array Microscopy (MCAM), published in Optica.
WATCH NOW

We are excited to announce new research using Ramona’s Multi-Camera Array Microscopy (MCAM), published in Optica.

This paper examines different configurations of (MCAM) imaging technology, including simultaneously imaging and estimating the 3D object depth, recording video across a continuous 83×123mm 283×123mm2 FOV, and how a high-resolution configuration of the MCAM (2 µm resolution) can rapidly produce 9.8 GP composites of large histopathology specimens.

Diagram of tiled high-resolution MCAM with 4f imaging system. FOV of each lens–sensor pair is FOV𝑡=3.5mm. Blue boxes representing mechanical scanning are simplified for illustrative purposes. (b) Large-area simultaneous scan of multiple brain slices. The gray box shows the area where the sub-image edges meet.

Congratulations to lead authors, Mark Harfouche and Kanghyun Kim, our other collaborators at Duke’s Computational Optics Lab, and everyone else involved.

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