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High-sensitivity modulation-doped charge sensitive infrared phototransistors
Shunji Xia1,2, Liuyan Fan1, Can Zhou1,2
1State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, People's Republic of China.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|February 19, 2026
Summary
Optimized charge-sensitive infrared phototransistors (CSIPs) show enhanced sensitivity for scanning near-field optical microscopy (SNOM). These improved infrared detectors offer higher resolution for nanoscale thermal imaging.
Area of Science:
- Semiconductor Physics
- Nanotechnology
- Optical Engineering
Background:
- Charge-sensitive infrared phototransistors (CSIPs) based on GaAs/AlGaAs double quantum wells are promising for infrared detection in scanning near-field optical microscopy (SNOM).
- Current CSIP performance limits nanoscale thermal imaging resolution due to challenges in detecting weak signals.
- Enhanced sensitivity is crucial for higher temporal and spatial resolution in SNOM applications.
Purpose of the Study:
- To significantly enhance the optoelectronic performance of GaAs/AlGaAs CSIPs.
- To improve the detection capabilities of CSIPs for weak infrared signals in SNOM.
- To enable higher resolution nanoscale thermal imaging.
Main Methods:
- Reduced oxygen impurity concentration in the GaAs/AlGaAs structure.
- Implemented modulation doping to increase two-dimensional electron gas mobility in the lower quantum well.
- Fabricated and characterized optimized CSIP devices.
Main Results:
- Achieved a photocurrent of 7.43 μA with a responsivity of 1.34 × 10^6 A/W at 4.2 K and 5.54 pW radiation power.
- Demonstrated a stable peak response wavelength at 11.78 μm.
- Devices maintained functionality up to 50 K, showing enhanced performance.
Conclusions:
- The optimized CSIPs exhibit significantly improved sensitivity and responsivity for infrared detection.
- These advancements enhance the capability of CSIPs for high-resolution near-field thermal imaging.
- The optimized devices pave the way for more detailed nanoscale thermal analysis using SNOM.

