Measuring the average cell size and width of its distribution in cellular tissues using Fourier transform

Area of Science:

• Biophysics
• Cell Biology
• Image Analysis

Background:

• Accurate measurement of cell size and distribution is crucial in 3D biological tissues.
• Existing methods can be time-consuming and may cause phototoxicity.
• Developing rapid, non-invasive techniques for live cell analysis is essential.

Purpose of the Study:

• To present a fully automated Fourier-based analysis for determining cell size and distribution width in 3D biological tissues.
• To establish criteria for optimizing image acquisition settings for enhanced accuracy.
• To evaluate the technique's performance with varying numbers of cells and Z-resolution.

Main Methods:

• Utilized a fully automated Fourier-based analysis technique.
• Tested the method using generated images to validate results.
• Investigated the impact of cell count per field of view and Z-resolution on measurement accuracy.

Main Results:

• The number of cells in the field of view is the most critical parameter for accuracy.
• Accurate cell size measurements are achievable with as few as [Formula: see text] cells.
• Reduced Z-resolution (approximately one image per cell) yields mean cell size measurements with <5% error.

Conclusions:

• The automated Fourier analysis is a promising tool for rapid, in vivo cell volume measurement in 3D tissues.
• The technique minimizes photobleaching and phototoxicity, making it suitable for live imaging.
• It offers a fast and accurate method for analyzing cell size and distribution in complex biological samples.