Literature DB >> 12467029

System for combined three-dimensional morphological and molecular analysis of thick tissue specimens.

Rodrigo Fernandez-Gonzalez1, Arthur Jones, Enrique Garcia-Rodriguez, Ping Yuan Chen, Adam Idica, Stephen J Lockett, Mary Helen Barcellos-Hoff, Carlos Ortiz-De-Solorzano.   

Abstract

We present a new system for simultaneous morphological and molecular analysis of thick tissue samples. The system is composed of a computer-assisted microscope and a JAVA-based image display, analysis, and visualization program that allows acquisition, annotation, meaningful storage, three-dimensional reconstruction, and analysis of structures of interest in thick sectioned tissue specimens. We describe the system in detail and illustrate its use by imaging, reconstructing, and analyzing two complete tissue blocks that were differently processed and stained. One block was obtained from a ductal carcinoma in situ (DCIS) lumpectomy specimen and stained alternatively with Hematoxilyn and Eosin (H&E), and with a counterstain and fluorescence in situ hybridization (FISH) to the ERB-B2 gene. The second block contained a fully sectioned mammary gland of a mouse, stained for histology with H&E. We show how the system greatly reduces the amount of interaction required for the acquisition and analysis and is, therefore, suitable for studies that require morphologically driven, wide-scale (e.g., whole gland) analysis of complex tissue samples or cultures.

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Keywords:  Non-programmatic

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Year:  2002        PMID: 12467029     DOI: 10.1002/jemt.10233

Source DB:  PubMed          Journal:  Microsc Res Tech        ISSN: 1059-910X            Impact factor:   2.769


  7 in total

Review 1.  Quantitative image analysis in mammary gland biology.

Authors:  Rodrigo Fernandez-Gonzalez; Mary Helen Barcellos-Hoff; Carlos Ortiz-de-Solórzano
Journal:  J Mammary Gland Biol Neoplasia       Date:  2004-10       Impact factor: 2.673

2.  Three dimensional reconstruction of a human breast carcinoma using routine laboratory equipment and immunohistochemistry.

Authors:  T Kurien; R W G Boyce; E C Paish; J Ronan; J Maddison; E A Rakha; A R Green; I O Ellis
Journal:  J Clin Pathol       Date:  2005-09       Impact factor: 3.411

3.  Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissue.

Authors:  Christopher S Bjornsson; Gang Lin; Yousef Al-Kofahi; Arunachalam Narayanaswamy; Karen L Smith; William Shain; Badrinath Roysam
Journal:  J Neurosci Methods       Date:  2008-01-17       Impact factor: 2.390

4.  Mapping mammary gland architecture using multi-scale in situ analysis.

Authors:  Rodrigo Fernandez-Gonzalez; Irineu Illa-Bochaca; Bryan E Welm; Markus C Fleisch; Zena Werb; Carlos Ortiz-de-Solorzano; Mary Helen Barcellos-Hoff
Journal:  Integr Biol (Camb)       Date:  2008-12-05       Impact factor: 2.192

5.  Modelling the early growth of ductal carcinoma in situ of the breast.

Authors:  S J Franks; H M Byrne; J R King; J C E Underwood; C E Lewis
Journal:  J Math Biol       Date:  2003-05-15       Impact factor: 2.259

6.  Automated reconstruction algorithm for identification of 3D architectures of cribriform ductal carcinoma in situ.

Authors:  Kerri-Ann Norton; Sameera Namazi; Nicola Barnard; Mariko Fujibayashi; Gyan Bhanot; Shridar Ganesan; Hitoshi Iyatomi; Koichi Ogawa; Troy Shinbrot
Journal:  PLoS One       Date:  2012-09-06       Impact factor: 3.240

7.  Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration.

Authors:  Ludovic Venet; Sarthak Pati; Michael D Feldman; MacLean P Nasrallah; Paul Yushkevich; Spyridon Bakas
Journal:  Appl Sci (Basel)       Date:  2021-02-21       Impact factor: 2.679

  7 in total

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