Gigapixel imaging with a novel multi-camera array microscope.

dc.contributor.author

Thomson, Eric E

dc.contributor.author

Harfouche, Mark

dc.contributor.author

Kim, Kanghyun

dc.contributor.author

Konda, Pavan C

dc.contributor.author

Seitz, Catherine W

dc.contributor.author

Cooke, Colin

dc.contributor.author

Xu, Shiqi

dc.contributor.author

Jacobs, Whitney S

dc.contributor.author

Blazing, Robin

dc.contributor.author

Chen, Yang

dc.contributor.author

Sharma, Sunanda

dc.contributor.author

Dunn, Timothy W

dc.contributor.author

Park, Jaehee

dc.contributor.author

Horstmeyer, Roarke W

dc.contributor.author

Naumann, Eva A

dc.date.accessioned

2024-05-14T19:52:06Z

dc.date.available

2024-05-14T19:52:06Z

dc.date.issued

2022-12

dc.description.abstract

The dynamics of living organisms are organized across many spatial scales. However, current cost-effective imaging systems can measure only a subset of these scales at once. We have created a scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution recording from multiple spatial scales simultaneously, ranging from structures that approach the cellular scale to large-group behavioral dynamics. By collecting data from up to 96 cameras, we computationally generate gigapixel-scale images and movies with a field of view over hundreds of square centimeters at an optical resolution of 18 µm. This allows us to observe the behavior and fine anatomical features of numerous freely moving model organisms on multiple spatial scales, including larval zebrafish, fruit flies, nematodes, carpenter ants, and slime mold. Further, the MCAM architecture allows stereoscopic tracking of the z-position of organisms using the overlapping field of view from adjacent cameras. Overall, by removing the bottlenecks imposed by single-camera image acquisition systems, the MCAM provides a powerful platform for investigating detailed biological features and behavioral processes of small model organisms across a wide range of spatial scales.

dc.identifier

74988

dc.identifier.issn

2050-084X

dc.identifier.issn

2050-084X

dc.identifier.uri

https://hdl.handle.net/10161/30710

dc.language

eng

dc.publisher

eLife Sciences Publications, Ltd

dc.relation.ispartof

eLife

dc.relation.isversionof

10.7554/elife.74988

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Animals

dc.subject

Zebrafish

dc.subject

Microscopy

dc.title

Gigapixel imaging with a novel multi-camera array microscope.

dc.type

Journal article

duke.contributor.orcid

Horstmeyer, Roarke W|0000-0002-2480-9141

pubs.begin-page

e74988

pubs.organisational-group

Duke

pubs.organisational-group

Pratt School of Engineering

pubs.organisational-group

School of Medicine

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Cell Biology

pubs.organisational-group

Neurobiology

pubs.organisational-group

Biomedical Engineering

pubs.organisational-group

Electrical and Computer Engineering

pubs.organisational-group

University Institutes and Centers

pubs.organisational-group

Duke Institute for Brain Sciences

pubs.organisational-group

Center for Cognitive Neuroscience

pubs.organisational-group

Neurosurgery

pubs.organisational-group

Regeneration Next Initiative

pubs.publication-status

Published

pubs.volume

11

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Gigapixel imaging with a novel multi-camera array microscope.pdf
Size:
20.35 MB
Format:
Adobe Portable Document Format