Literature DB >> 7841499

Three-dimensional imaging and image analysis of hippocampal neurons: confocal and digitally enhanced wide field microscopy.

J N Turner1, D H Szarowski, T J Turner, H Ancin, W C Lin, B Roysam, T J Holmes.   

Abstract

The microscopy of biological specimens has traditionally been a two-dimensional imaging method for analyzing what are in reality three-dimensional (3-D) objects. This has been a major limitation of the application of one of science's most widely used tools. Nowhere has this limitation been more acute than in neurobiology, which is dominated by the necessity of understanding both large- and small-scale 3-D anatomy. Fortunately, recent advances in optical instrumentation and computational methods have provided the means for retrieving the third dimension, making full 3-D microscopic imaging possible. Optical designs have concentrated on the confocal imaging mode while computational methods have made 3-D imaging possible with wide field microscopes using deconvolution methods. This work presents a brief review of these methods, especially as applied to neurobiology, and data using both approaches. Specimens several hundred micrometers thick can be sampled allowing essentially intact neurons to be imaged. These neurons or selected components can be contrasted with either fluorescent, absorption, or reflection stains. Image analysis in 3-D is as important as visualization in 3-D. Automated methods of cell counting and analysis by nuclear detection as well as tracing of individual neurons are presented.

Mesh:

Year:  1994        PMID: 7841499     DOI: 10.1002/jemt.1070290403

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


  2 in total

1.  Three-dimensional changes of the cytoskeleton of vascular endothelial cells exposed to sustained hydrostatic pressure.

Authors:  S A Salwen; D H Szarowski; J N Turner; R Bizios
Journal:  Med Biol Eng Comput       Date:  1998-07       Impact factor: 2.602

2.  MDL constrained 3-D grayscale skeletonization algorithm for automated extraction of dendrites and spines from fluorescence confocal images.

Authors:  Xiaosong Yuan; Joshua T Trachtenberg; Steve M Potter; Badrinath Roysam
Journal:  Neuroinformatics       Date:  2009-12-11
  2 in total

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