Single Photon Counting Modules (SPCMs) are advanced optical sensors designed to detect individual photons with high temporal and spatial resolution. Based on solid-state photodetectors, these modules operate in Geiger mode to achieve single-photon sensitivity. Their ability to quantify ultralow light levels makes them critical components in quantum optics, biomedical imaging, and precision measurement systems.
| Type | Functional Characteristics | Application Examples |
|---|---|---|
| Avalanche Photodiode (APD) SPCM | High quantum efficiency (40-70%), active/passive quenching circuits | LIDAR, fluorescence spectroscopy |
| Superconducting Nanowire SPCM | Ultra-low dark count rate (<1 Hz), wide spectral range (400-1700 nm) | Quantum communication, deep-space optical receivers |
| Photomultiplier Tube (PMT) SPCM | High gain (10^6-10^7), large active area | Astronomy, nuclear physics experiments |
Typical SPCM architecture consists of: (1) Photon detection layer (silicon APD, superconducting nanowire); (2) Quenching circuitry (RC-active/passive); (3) Signal amplification stage; (4) Temperature stabilization module; (5) Digital output interface (TTL/USB). Advanced modules integrate time-to-digital converters for photon arrival time tagging.
| Parameter | Definition | Typical Values |
|---|---|---|
| Photon Detection Efficiency (PDE) | Ratio of detected photons to incident photons | 10-90% (wavelength-dependent) |
| Dark Count Rate (DCR) | False counts without photon incidence | 100 Hz - 10 kHz (at 25 C) |
| Timing Jitter | Temporal uncertainty in photon detection | 20-200 ps RMS |
| Dead Time | Recovery time between detections | 50 ns - 10 s |
| Manufacturer | Product Model | Key Features |
|---|---|---|
| Excelitas Technologies | SIR5-FC | Silicon APD, 60% PDE at 550 nm, 10 ns dead time |
| Hamamatsu Photonics | C14456-002 | Back-illuminated APD, 70% max PDE, thermoelectric cooling |
| Laser Components | SPCM-9 | 1550 nm optimized, 25% PDE, fiber-coupled interface |
Current developments focus on: (1) Increasing PDE beyond 90% through nanostructured surfaces; (2) Reducing dark counts to sub-Hz levels via cryogenic operation; (3) Developing CMOS-compatible single-photon imagers; (4) Integrating quantum dot photon number resolving capabilities. Market growth is driven by quantum computing infrastructure and autonomous vehicle LIDAR systems.