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Real-time quantitative elemental analysis and mapping: microchemical imaging in cell physiology.
A LeFurgey1, S D Davilla, D A Kopf
1Department of Cell Biology, School of Medicine, Duke University, Durham, NC 27710.
Journal of Microscopy
|February 1, 1992
Summary
This study introduces a microcomputer system for real-time X-ray elemental mapping in cells. It enables detailed analysis of element and water content, advancing cell physiology research.
Area of Science:
- Cell Biology
- Microscopy
- Biophysics
Background:
- Microcomputer advancements enable digital X-ray map acquisition and processing of cells.
- Quantitative X-ray elemental mapping provides insights into cellular composition.
Purpose of the Study:
- To describe a microcomputer system for acquiring and processing quantitative X-ray elemental maps.
- To enable real-time imaging and analysis of element and water content in cellular regions.
- To facilitate studies in cell physiology and pathophysiology.
Main Methods:
- Utilizing a graphics-based microcomputer for spectrally filtered X-ray elemental image map acquisition.
- Fitting X-ray maps to standards and correcting for specimen drift in real-time.
- Acquiring high-resolution quantitative energy-dispersive X-ray images of freeze-dried cryosections.
- Obtaining low-dose quantitative bright-field images of frozen-hydrated sections.
- Implementing static probe acquisition with on-line spectral processing and quantification.
- Developing unified software for both on-line and off-line data processing and analysis.
Main Results:
- Real-time acquisition and processing of X-ray elemental image maps are feasible.
- Simultaneous acquisition of element and water content from the same intracellular regions is possible.
- Computer-aided imaging combined with static probes serves as an interactive tool for biological analysis.
Conclusions:
- The developed microchemical microscopy system enhances studies of ionic (elemental) compartmentation.
- Facilitates investigation of intracellular concentration gradients and cellular responses to stimuli.
- Enables ultrastructural resolution of fast physiological events and cell-to-cell interactions.