Cargando…
Gigapixel imaging with a novel multi-camera array microscope
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 mult...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917455/ https://www.ncbi.nlm.nih.gov/pubmed/36515989 http://dx.doi.org/10.7554/eLife.74988 |
_version_ | 1784886370428256256 |
---|---|
author | Thomson, Eric E Harfouche, Mark Kim, Kanghyun Konda, Pavan C Seitz, Catherine W Cooke, Colin Xu, Shiqi Jacobs, Whitney S Blazing, Robin Chen, Yang Sharma, Sunanda Dunn, Timothy W Park, Jaehee Horstmeyer, Roarke W Naumann, Eva A |
author_facet | Thomson, Eric E Harfouche, Mark Kim, Kanghyun Konda, Pavan C Seitz, Catherine W Cooke, Colin Xu, Shiqi Jacobs, Whitney S Blazing, Robin Chen, Yang Sharma, Sunanda Dunn, Timothy W Park, Jaehee Horstmeyer, Roarke W Naumann, Eva A |
author_sort | Thomson, Eric E |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9917455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-99174552023-02-11 Gigapixel imaging with a novel multi-camera array microscope Thomson, Eric E Harfouche, Mark Kim, Kanghyun Konda, Pavan C Seitz, Catherine W Cooke, Colin Xu, Shiqi Jacobs, Whitney S Blazing, Robin Chen, Yang Sharma, Sunanda Dunn, Timothy W Park, Jaehee Horstmeyer, Roarke W Naumann, Eva A eLife Neuroscience 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. eLife Sciences Publications, Ltd 2022-12-14 /pmc/articles/PMC9917455/ /pubmed/36515989 http://dx.doi.org/10.7554/eLife.74988 Text en © 2022, Thomson et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Thomson, Eric E Harfouche, Mark Kim, Kanghyun Konda, Pavan C Seitz, Catherine W Cooke, Colin Xu, Shiqi Jacobs, Whitney S Blazing, Robin Chen, Yang Sharma, Sunanda Dunn, Timothy W Park, Jaehee Horstmeyer, Roarke W Naumann, Eva A Gigapixel imaging with a novel multi-camera array microscope |
title | Gigapixel imaging with a novel multi-camera array microscope |
title_full | Gigapixel imaging with a novel multi-camera array microscope |
title_fullStr | Gigapixel imaging with a novel multi-camera array microscope |
title_full_unstemmed | Gigapixel imaging with a novel multi-camera array microscope |
title_short | Gigapixel imaging with a novel multi-camera array microscope |
title_sort | gigapixel imaging with a novel multi-camera array microscope |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917455/ https://www.ncbi.nlm.nih.gov/pubmed/36515989 http://dx.doi.org/10.7554/eLife.74988 |
work_keys_str_mv | AT thomsonerice gigapixelimagingwithanovelmulticameraarraymicroscope AT harfouchemark gigapixelimagingwithanovelmulticameraarraymicroscope AT kimkanghyun gigapixelimagingwithanovelmulticameraarraymicroscope AT kondapavanc gigapixelimagingwithanovelmulticameraarraymicroscope AT seitzcatherinew gigapixelimagingwithanovelmulticameraarraymicroscope AT cookecolin gigapixelimagingwithanovelmulticameraarraymicroscope AT xushiqi gigapixelimagingwithanovelmulticameraarraymicroscope AT jacobswhitneys gigapixelimagingwithanovelmulticameraarraymicroscope AT blazingrobin gigapixelimagingwithanovelmulticameraarraymicroscope AT chenyang gigapixelimagingwithanovelmulticameraarraymicroscope AT sharmasunanda gigapixelimagingwithanovelmulticameraarraymicroscope AT dunntimothyw gigapixelimagingwithanovelmulticameraarraymicroscope AT parkjaehee gigapixelimagingwithanovelmulticameraarraymicroscope AT horstmeyerroarkew gigapixelimagingwithanovelmulticameraarraymicroscope AT naumannevaa gigapixelimagingwithanovelmulticameraarraymicroscope |