Direct Optical Lithography Enabled Multispectral Colloidal Quantum-Dot Imagers from Ultraviolet to Short-Wave Infrared.
Shuo ZhangCheng BiYimei TanYuning LuoYanfei LiuJie CaoMenglu ChenQun HaoXin TangPublished in: ACS nano (2022)
Complementary metal oxide semiconductor (CMOS) silicon sensors play a central role in optoelectronics with widespread applications from small cell phone cameras to large-format imagers for remote sensing. Despite numerous advantages, their sensing ranges are limited within the visible (0.4-0.7 μm) and near-infrared (0.8-1.1 μm) range , defined by their energy gaps (1.1 eV). However, below or above that spectral range, ultraviolet (UV) and short-wave infrared (SWIR) have been demonstrated in numerous applications such as fingerprint identification, night vision, and composition analysis. In this work, we demonstrate the implementation of multispectral broad-band CMOS-compatible imagers with UV-enhanced visible pixels and SWIR pixels by layer-by-layer direct optical lithography of colloidal quantum dots (CQDs). High-resolution single-color images and merged multispectral images were obtained by using one imager. The photoresponse nonuniformity (PRNU) is below 5% with a 0% dead pixel rate and room-temperature responsivities of 0.25 A/W at 300 nm, 0.4 A/W at 750 nm, and 0.25 A/W at 2.0 μm.
Keyphrases
- room temperature
- high resolution
- fluorescence imaging
- photodynamic therapy
- optical coherence tomography
- quantum dots
- deep learning
- light emitting
- convolutional neural network
- high speed
- ionic liquid
- primary care
- healthcare
- single cell
- mass spectrometry
- cell therapy
- sensitive detection
- stem cells
- aqueous solution
- quality improvement
- low cost
- machine learning
- magnetic resonance imaging
- tandem mass spectrometry
- magnetic resonance
- mesenchymal stem cells
- physical activity
- bioinformatics analysis