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Light Microscopy-Based Organelle Quantification: A Comprehensive Protocol.

Suraj Thapliyal1,2, Hari Kalpana Namdar1,2, Ronald McMillan3

  • 1Department of Biology, Indian Institute of Science Education and Research Tirupati (IISER), Tirupati, AP, India.

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Summary
This summary is machine-generated.

This study presents standardized protocols for quantifying cellular organelle morphology and dynamics using Fiji/ImageJ software. These methods enable precise, high-throughput analysis of mitochondria, endoplasmic reticulum, and other organelles for disease research.

Keywords:
Fiji/ImageJconfocal microscopyimage analysismorphometric analysisorganelle quantification

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Area of Science:

  • Cell Biology
  • Microscopy
  • Bioimaging Analysis

Background:

  • Cellular organelles are dynamic structures crucial for cell function, and their morphological changes can indicate disease.
  • Traditional organelle research relied on qualitative descriptions, limiting precise quantitative analysis.
  • Advancements in light microscopy offer nanoscale resolution, high-throughput analysis, and live-cell imaging capabilities.

Purpose of the Study:

  • To establish standardized, quantitative protocols for analyzing organelle morphology, dynamics, and spatial organization.
  • To provide step-by-step workflows for precise measurement of key organelles including mitochondria, endoplasmic reticulum, and Golgi apparatus.
  • To demonstrate the utility of Fiji/ImageJ-based analysis for high-precision organelle quantification.

Main Methods:

  • Integration of experimental design, optimized sample preparation, and high-resolution imaging.
  • Development of validated Fiji/ImageJ-based analysis workflows for specific organelles (mitochondria, lipid droplets, myofibrils, Golgi, ER).
  • Inclusion of protocols for standard and alternate (super-resolution) imaging techniques.

Main Results:

  • Detailed protocols are provided for quantifying mitochondrial morphology, lipid droplet identification, myofibril structure, Golgi apparatus morphometry, and endoplasmic reticulum network analysis.
  • The Fiji/ImageJ-based workflow enables high-precision organelle quantification, comparable to advanced techniques.
  • The entire workflow, from design to validation, can be completed within 2-4 weeks.

Conclusions:

  • Standardized protocols facilitate accurate and reproducible quantification of multiple organelles within their cellular context.
  • Fiji/ImageJ remains a powerful and accessible tool for precise organelle analysis, supporting cross-study comparisons.
  • This approach enhances our understanding of organelle dynamics and their role in cellular functions and diseases.