# High‐Resolution Multispectral Photovoltaic Imagers from Visible to Short‐Wave Infrared

## TL;DR

This paper introduces a high-resolution multispectral imager that combines visible and short-wave infrared detection on a single chip for use in agriculture and medical diagnostics.

## Contribution

The novel contribution is a monolithic quad-spectral imager with hardware-algorithm co-design enabling multispectral super-resolution imaging.

## Key findings

- A monolithic quad-spectral photovoltaic imaging platform achieves 640 × 512 resolution with <1% dead pixels per channel.
- The system integrates visible to short-wave infrared detection (350–2350 nm) using an all-polymer bulk heterojunction and colloidal quantum dots.
- Super-resolution reconstruction restores image quality, enabling efficient CMOS-compatible multispectral imaging.

## Abstract

Visible to short‐wave infrared multispectral imaging is gaining significant attention across various fields, including agriculture, security, and medical diagnostics. Traditional multispectral imaging systems often rely on separate sensors for different spectral bands, leading to complex optical alignment and irreversible resolution loss. Here, we present hardware‐algorithm co‐designed architecture to achieve multispectral super‐resolution imaging. Specifically, we demonstrate a monolithic quad‐spectral photovoltaic imaging platform featuring a resolution of 640 × 512 pixels with <1% dead pixels per channel. The system achieves broadband spectral integration from visible to short‐wave infrared (350–2350 nm) by combining an all‐polymer bulk heterojunction with colloidal quantum dots within a single CMOS‐compatible architecture. The compatibility of all‐polymer bulk heterojunction with direct photopatterning allows for precise patterning and high‐density integration, enabling the devices to operate efficiently in photovoltage mode. To address resolution degradation inherent in planar‐integrated spectral sensing architectures, we applied a super‐resolution reconstruction method, restoring images to a resolution of 640 × 512. The demonstrated capability to simultaneously capture and process multispectral data paves the way for CMOS integration, multispectral Imagers, organic photodetector, super‐resolution reconstruction applications in diverse fields, from precision agriculture to medical diagnostics and beyond.

We demonstrate a monolithic quad‐spectral imager that seamlessly integrates visible and short‐wave infrared detection on a single chip. Through direct photopatterning of an all‐polymer bulk heterojunction and colloidal quantum dots, the device achieves high‐resolution (640 × 512) imaging across 350–2400 nm, enabling multispectral capture for applications from precision agriculture to medical diagnostics.