Designing\na Quantum Dot Upconversion Infrared Image\nSensor via a Photomultiplication Mechanism

The\nupconversion infrared (IR) image sensor selectively\nemits visible\nlight photons from the regions that have absorbed IR photons, allowing\nfor simplified manufacturing without the need for complex pixel integration.\nThese pixel-less upconversion IR image sensors enable low-cost, nondestructive\nimaging in the Internet of Things, security, and bioimaging applications,\nwhich include identifying blood circulation, tumors, and vascular\nstructures. Here we designed the material and structure of a quantum\ndot upconversion IR image sensor (QUIS) and achieved a photon-to-photon\nefficiency of 982% by inducing photomultiplication. A QUIS, designed\nwith an inverted structure for charge balance, uses Mg-alloyed ZnO\nnanoparticles as an electron transport layer to control the electron–hole\nratio. We analyzed the type and amount of charge present within the\nQUIS, elucidating the mechanism driving photomultiplication and the\norigin of photon-to-electron efficiency exceeding 100000%. The pixel-free\nQUIS is demonstrated as a bioimaging sensor by detecting human movement\nand blood pulse detection.

Publication Details

Journal
Figshare
Published
2024-11-20
DOI
https://doi.org/10.1021/acsenergylett.4c02088.s003
Primary Topic
Genetic and Environmental Crop Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Designing\na Quantum Dot Upconversion Infrared Image\nSensor via a Photomultiplication Mechanism

Figshare
Genetic and Environmental Crop Studies
article

Designing\na Quantum Dot Upconversion Infrared Image\nSensor via a Photomultiplication Mechanism

article en

Abstract

The\nupconversion infrared (IR) image sensor selectively\nemits visible\nlight photons from the regions that have absorbed IR photons, allowing\nfor simplified manufacturing without the need for complex pixel integration.\nThese pixel-less upconversion IR image sensors enable low-cost, nondestructive\nimaging in the Internet of Things, security, and bioimaging applications,\nwhich include identifying blood circulation, tumors, and vascular\nstructures. Here we designed the material and structure of a quantum\ndot upconversion IR image sensor (QUIS) and achieved a photon-to-photon\nefficiency of 982% by inducing photomultiplication. A QUIS, designed\nwith an inverted structure for charge balance, uses Mg-alloyed ZnO\nnanoparticles as an electron transport layer to control the electron–hole\nratio. We analyzed the type and amount of charge present within the\nQUIS, elucidating the mechanism driving photomultiplication and the\norigin of photon-to-electron efficiency exceeding 100000%. The pixel-free\nQUIS is demonstrated as a bioimaging sensor by detecting human movement\nand blood pulse detection.

Figshare
Openalex Percentile: Top 41%
Genetic and Environmental Crop Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.