Large image microscope array for the compilation of multimodality whole organ image databases

Eman Namati; Jessica de Ryk; Jacqueline Thiesse; Zaid Towfic; Eric Hoffman; Geoffrey Mclennan

doi:10.1002/ar.20600

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Large image microscope array for the compilation of multimodality whole organ image databases

Journal article

Open access

Peer reviewed

Large image microscope array for the compilation of multimodality whole organ image databases

Eman Namati, Jessica de Ryk, Jacqueline Thiesse, Zaid Towfic, Eric Hoffman and Geoffrey Mclennan

Anatomical record (Hoboken, N.J. : 2007), Vol.290(11), pp.1377-1387

11/2007

DOI: 10.1002/ar.20600

PMID: 17853414

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https://doi.org/10.1002/ar.20600View

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Abstract

Three-dimensional, structural and functional digital image databases have many applications in education, research, and clinical medicine. However, to date, apart from cryosectioning, there have been no reliable means to obtain whole-organ, spatially conserving histology. Our aim was to generate a system capable of acquiring high-resolution images, featuring microscopic detail that could still be spatially correlated to the whole organ. To fulfill these objectives required the construction of a system physically capable of creating very fine whole-organ sections and collecting high-magnification and resolution digital images. We therefore designed a large image microscope array (LIMA) to serially section and image entire unembedded organs while maintaining the structural integrity of the tissue. The LIMA consists of several integrated components: a novel large-blade vibrating microtome, a 1.3 megapixel peltier cooled charge-coupled device camera, a high-magnification microscope, and a three axis gantry above the microtome. A custom control program was developed to automate the entire sectioning and automated raster-scan imaging sequence. The system is capable of sectioning unembedded soft tissue down to a thickness of 40 microm at specimen dimensions of 200 x 300 mm to a total depth of 350 mm. The LIMA system has been tested on fixed lung from sheep and mice, resulting in large high-quality image data sets, with minimal distinguishable disturbance in the delicate alveolar structures.

Software

Microscopy - methods

Microtomy - methods

Animals

Microscopy - instrumentation

Imaging, Three-Dimensional - instrumentation

Imaging, Three-Dimensional - methods

Sheep

Mice

Microtomy - instrumentation

Lung - anatomy & histology

Databases, Factual

Details

Title: Subtitle: Large image microscope array for the compilation of multimodality whole organ image databases
Creators: Eman Namati - Department of Internal Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242, USA
Jessica de Ryk
Jacqueline Thiesse
Zaid Towfic
Eric Hoffman
Geoffrey Mclennan
Resource Type: Journal article
Publication Details: Anatomical record (Hoboken, N.J. : 2007), Vol.290(11), pp.1377-1387
DOI: 10.1002/ar.20600
PMID: 17853414
NLM abbreviation: Anat Rec (Hoboken)
ISSN: 1932-8486
eISSN: 1932-8494
Publisher: United States
Grant note: 3U01CA091085-0551 / NCI NIH HHS
Language: English
Date published: 11/2007
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
Record Identifier: 9984051896202771

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