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Related Concept Videos

Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

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An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images
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3D automatic quantification applied to optically sectioned images to improve microscopy analysis.

J E Diaz-Zamboni1, J F Adur, N Vicente

  • 1Laboratorio de Microscopía, Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Oro Verde, Entre Ríos, Argentina.

European Journal of Histochemistry : EJH
|July 2, 2008
PubMed
Summary

This study introduces a new 3D method for quantifying fluorescent apoptotic bodies in cell spheroids. The technique visualizes and analyzes apoptotic body distribution, aiding in the understanding of cell death in 3D structures.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Microscopy

Background:

  • Advanced fluorescence microscopy techniques like confocal and deconvolution microscopy generate extensive 3D data.
  • Limited availability of 3D quantification tools hinders the analysis of complex biological volumes.
  • Manual analysis of 3D microscopy data is time-consuming and challenging.

Purpose of the Study:

  • To develop and present a novel model-based method for 3D visualization and quantification of fluorescent apoptotic bodies.
  • To correlate apoptotic body signals with morphological structures within porcine hepatocyte spheroids.
  • To enable detailed analysis of apoptotic body distribution within 3D cellular constructs.

Main Methods:

  • Utilized optical serial sections of porcine hepatocyte spheroids.
  • Developed a model-based algorithm for counting apoptotic bodies and extracting spatial information.
  • Calculated centroids (Cartesian and radial coordinates) and integrated intensity of apoptotic bodies relative to the spheroid center.
  • Implemented 3D visualization of the extracted quantitative data.

Main Results:

  • Successfully visualized and quantified fluorescent apoptotic bodies in three-dimensional space.
  • Determined the distribution of apoptotic bodies within distinct zones of the spheroid.
  • Provided quantitative data on apoptotic body location and intensity correlating with spheroid morphology.

Conclusions:

  • The developed method offers a powerful tool for 3D analysis of apoptotic bodies in cellular spheroids.
  • This approach facilitates a deeper understanding of cell death dynamics and spatial organization in 3D cell cultures.
  • The technique overcomes limitations of manual analysis for complex 3D microscopy datasets.