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Microspectrofluorometry by digital image processing: measurement of cytoplasmic pH.
The Journal of Cell Biology
|February 1, 1984
Summary
This study introduces a digital image processing system for microspectrofluorometry in living cells, enabling accurate cytoplasmic pH mapping. The system reveals a non-uniform pH distribution in fibroblasts, offering new insights into cellular environments.
Area of Science:
- Cell Biology
- Biophysics
- Spectroscopy
Background:
- Microspectrofluorometry allows for the measurement of fluorescence properties in microscopic samples.
- Accurate determination of intracellular parameters like pH is crucial for understanding cell function.
- Digital image processing offers potential for enhanced analysis of microscopic fluorescence data.
Purpose of the Study:
- To develop and validate a digital image processing system for microspectrofluorometry in living cells.
- To accurately map cytoplasmic pH distribution in fibroblasts (3T3 cells).
- To assess the performance and applications of the developed imaging technique.
Main Methods:
- Integration of a microspectrofluorometer with a digital image processing system.
- Utilizing fluorescein-labeled dextran as a pH indicator microinjected into cells.
- Measuring the ratio of fluorescein fluorescence at two excitation wavelengths (489/452 nm) for pH determination.
- Analyzing image processing parameters including linearity, light scattering, signal-to-noise ratio, and spatial resolution.
Main Results:
- The system provides automatically normalized spectroscopic parameters, creating accurate cytoplasmic pH maps.
- The average resting cytoplasmic pH of 3T3 fibroblasts was determined to be 6.83.
- A non-unimodal pH distribution was observed, with a lower mean pH of 6.74.
- Pinosomes showed pH variations depending on their location within the cell.
Conclusions:
- The digital image processing system enables accurate and efficient microspectrofluorometric measurements in living cells.
- The technique provides detailed insights into intracellular pH heterogeneity.
- This ratio imaging approach has broad applicability in cell biology research.