The DPD80 Digital Photodetector

A digital USB photodetector allowing data to be streamed directly to your computer over USB 3.0, eliminating the need for a separate oscilloscope or spectrum analyzer.

DPD80 Digital Photodetector High Speed Low Noise USB streaming

Ultra-low Noise Measurements

With minimum noise equivalent powers of 3.0 pW / √ Hz  and 1.5 pW / √ Hz  for the visible and infra­red versions of the DPD80 photodetector, it has lowest in class noise floor. Additionally, the immediate internal amplification and digitization eliminates signal degradation and noise pickup from coaxial cables.

Simple Python code for the DPD80 photodetector

Fast Data Streaming to your Computer

The DPD80 photodetector can contin­uously stream data to your computer at a sample rate of 80 mega­samples / second using USB 3.1. This digital connection from photo­detector to computer simplifies exper­imental setups, and powers the device so that it doesn't require a sep­arate power supply. We also support Python, MATLAB, and C libraries allowing you to automate your data collection.

Included User Interface for Real-time Data Analysis

Our touch-screen compatible user inter­face allows you to view the incoming optical data in either the time domain or the frequ­ency domain, elim­inating the need for an external oscill­oscope, spectrum analyzer or analog to digital converter to view your optical signal. Saving data and controlling your DPD80 USB photodetector is made simple with our interface.

 User interface for controlling the DPD80 USB photodetector.

DPD80 Photodetector Specifications

Silicon InGaAs
Minimum NEP 3.0 pW / √ Hz  1.5 pW/ √ Hz 
Saturation Power 74 - 290 μW 37 - 148 μW
Spectral Sensitivity 500-950 nm 950-1650 nm
Data & Power Connector USB 3.1 Type C
Dimensions 60 mm x 51 mm x 21 mm
Coupling Free Space or Fiber Coupled
Analog Output Bandwidth 100 MHz
Digital Sampling 80 MSPS, 14 bit
PC Requirements USB 3.0 port, Windows 7 or later

Depends on gain setting

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Visible Detectors

Infrared Detectors

900nm Enhanced Responsivity Detectors