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Published on: April 16, 2017
Photothermal microscopy beyond intensity detection: exploiting spatial signal distributions for enhanced sensitivity
Shu-Hei Urashima1, Tomotaro Namba1, Ryoji Kusaka1
1Nuclear Science and Engineering Center, Japan Atomic Energy Agency (JAEA), Tokai, Ibaraki 319-1195, Japan. urashima.shuhei@jaea.go.jp.
The Analyst
|May 14, 2026
Summary
This study enhances photothermal microscopy sensitivity by utilizing spatial beam mismatch. This novel approach, using deep learning, achieves a 3-5x lower limit of detection than conventional methods.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Microscopy
Background:
- Photothermal microscopy sensitivity is limited by spatial beam overlap.
- Conventional methods struggle with low analyte concentrations.
- Existing techniques are outperformed by standard spectrophotometers.
Purpose of the Study:
- To significantly enhance photothermal microscopy sensitivity.
- To overcome the limitations of conventional photothermal detection.
- To achieve a lower limit of detection for aqueous solutions.
Main Methods:
- Exploiting spatial mismatch between pump and probe beams.
- Utilizing photothermal reflectance microscopy.
- Employing deep learning for signal analysis.
Main Results:
- Achieved a limit of detection (LOD) of 2 x 10-4 absorbance (1 cm path length).
- Demonstrated a 3-5 fold improvement over previous photothermal microscopy.
- Outperformed conventional spectrophotometers while maintaining spatial resolution.
Conclusions:
- Spatial beam mismatch can be leveraged for enhanced sensitivity.
- Deep learning enables practical analysis of complex photothermal signals.
- This method offers superior sensitivity and resolution for microscopic detection.
