Your browser doesn't support javascript.
loading
From Material to Cameras: Low-Dimensional Photodetector Arrays on CMOS.
Ansari, Samaneh; Bianconi, Simone; Kang, Chang-Mo; Mohseni, Hooman.
Afiliação
  • Ansari S; Electrical and Computer Engneering Department, Northwestern University, Evanston, IL, 60208, USA.
  • Bianconi S; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA.
  • Kang CM; Photonic Semiconductor Research Center, Korea Photonics Technology Institute, Gwangju, 61007, Republic of Korea.
  • Mohseni H; Electrical and Computer Engneering Department, Northwestern University, Evanston, IL, 60208, USA.
Small Methods ; 8(2): e2300595, 2024 Feb.
Article em En | MEDLINE | ID: mdl-37501320
ABSTRACT
The last two decades have witnessed a dramatic increase in research on low-dimensional material with exceptional optoelectronic properties. While low-dimensional materials offer exciting new opportunities for imaging, their integration in practical applications has been slow. In fact, most existing reports are based on single-pixel devices that cannot rival the quantity and quality of information provided by massively parallelized mega-pixel imagers based on complementary metal-oxide semiconductor (CMOS) readout electronics. The first goal of this review is to present new opportunities in producing high-resolution cameras using these new materials. New photodetection methods and materials in the field are presented, and the challenges involved in their integration on CMOS chips for making high-resolution cameras are discussed. Practical approaches are then presented to address these challenges and methods to integrate low-dimensional material on CMOS. It is also shown that such integrations could be used for ultra-low noise and massively parallel testing of new material and devices. The second goal of this review is to present the colossal untapped potential of low-dimensional material in enabling the next-generation of low-cost and high-performance cameras. It is proposed that low-dimensional materials have the natural ability to create excellent bio-inspired artificial imaging systems with unique features such as in-pixel computing, multi-band imaging, and curved retinas.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Small Methods Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Small Methods Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos