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Related Experiment Video

Updated: May 1, 2026

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Photon-efficient camera with in-sensor computing.

Yanqiu Guan¹, Haochen Li¹, Yi Zhang²

¹Research Institute of Superconductor Electronics, Nanjing University, Nanjing, China.

Nature Communications

|April 3, 2025

Summary

This summary is machine-generated.

Researchers developed a photon-efficient camera with in-sensor computing using a superconducting nanowire detector. This breakthrough enables high-accuracy machine vision tasks with minimal light, achieving 92.22% classification accuracy using only 0.12 photons per pixel.

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Last Updated: May 1, 2026

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Area of Science:

Optoelectronics
Computer Vision
Quantum Technology

Background:

Image sensors with integrated computing reduce power and latency in machine vision.
In-sensor computing at the single-photon level remains an unachieved goal.
2D semiconductors offer tunable properties for in-sensor computing applications.

Purpose of the Study:

To demonstrate a photon-efficient camera with in-sensor computing capabilities.
To achieve single-photon level in-sensor computing for enhanced machine vision.
To explore the potential of superconducting nanowire detectors for low-light imaging.

Main Methods:

Developed a superconducting nanowire array detector with four programmable dimensions: photon count rate, response time, pulse amplitude, and spectral responsivity.
Achieved saturated (100%) quantum efficiency across a broad spectral range (405-1550 nm).
Utilized multidimensional modulation and ultra-high sensitivity for data processing.

Main Results:

Demonstrated a classification accuracy of 92.22% for three letters using only 0.12 photons per pixel per pattern.
Successfully performed image preprocessing and spectral classification within the sensor.
Showcased the feasibility of in-sensor computing at the single-photon level.

Conclusions:

The photon-efficient camera enables high-sensitivity vision tasks in extremely low-light conditions.
This technology is suitable for applications like covert imaging, biological imaging, and space exploration.
The single-photon image sensor architecture can be scaled for complex neural networks and real-time vision tasks.