Literature DB >> 17853414

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

Eman Namati1, Jessica De Ryk, Jacqueline Thiesse, Zaid Towfic, Eric Hoffman, Geoffrey Mclennan.   

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. Copyright 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17853414     DOI: 10.1002/ar.20600

Source DB:  PubMed          Journal:  Anat Rec (Hoboken)        ISSN: 1932-8486            Impact factor:   2.064


  9 in total

1.  Toward routine use of 3D histopathology as a research tool.

Authors:  Nicholas Roberts; Derek Magee; Yi Song; Keeran Brabazon; Mike Shires; Doreen Crellin; Nicolas M Orsi; Richard Quirke; Philip Quirke; Darren Treanor
Journal:  Am J Pathol       Date:  2012-04-09       Impact factor: 4.307

2.  Four-dimensional visualization of subpleural alveolar dynamics in vivo during uninterrupted mechanical ventilation of living swine.

Authors:  Eman Namati; William C Warger; Carolin I Unglert; Jocelyn E Eckert; Jeroen Hostens; Brett E Bouma; Guillermo J Tearney
Journal:  Biomed Opt Express       Date:  2013-10-15       Impact factor: 3.732

3.  Validation of two-dimensional and three-dimensional measurements of subpleural alveolar size parameters by optical coherence tomography.

Authors:  Carolin I Unglert; William C Warger; Jeroen Hostens; Eman Namati; Reginald Birngruber; Brett E Bouma; Guillermo J Tearney
Journal:  J Biomed Opt       Date:  2012-12       Impact factor: 3.170

4.  An automated segmentation approach for highlighting the histological complexity of human lung cancer.

Authors:  J C Sieren; J Weydert; A Bell; B De Young; A R Smith; J Thiesse; E Namati; Geoffrey McLennan
Journal:  Ann Biomed Eng       Date:  2010-06-23       Impact factor: 3.934

5.  Exploration of the volumetric composition of human lung cancer nodules in correlated histopathology and computed tomography.

Authors:  J C Sieren; A R Smith; J Thiesse; E Namati; E A Hoffman; J N Kline; G McLennan
Journal:  Lung Cancer       Date:  2011-03-02       Impact factor: 5.705

Review 6.  Recent technological and application developments in computed tomography and magnetic resonance imaging for improved pulmonary nodule detection and lung cancer staging.

Authors:  Jessica C Sieren; Yoshiharu Ohno; Hisanobu Koyama; Kazuro Sugimura; Geoffrey McLennan
Journal:  J Magn Reson Imaging       Date:  2010-12       Impact factor: 4.813

7.  New imaging approaches for understanding lung cancer response to treatment.

Authors:  J de Ryk; E Namati; J Weydert; J Thiesse; G McLennan
Journal:  Clin Pharmacol Ther       Date:  2008-10       Impact factor: 6.875

8.  A process model for direct correlation between computed tomography and histopathology application in lung cancer.

Authors:  Jessica C Sieren; Jamie Weydert; Eman Namati; Jacqueline Thiesse; Jered P Sieren; Joseph M Reinhardt; Eric A Hoffman; Geoffrey McLennan
Journal:  Acad Radiol       Date:  2010-02       Impact factor: 3.173

9.  Image standards in tissue-based diagnosis (diagnostic surgical pathology).

Authors:  Klaus Kayser; Jürgen Görtler; Torsten Goldmann; Ekkehard Vollmer; Peter Hufnagl; Gian Kayser
Journal:  Diagn Pathol       Date:  2008-04-18       Impact factor: 2.644

  9 in total

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