Fabrication of Artificial Compound Eye with Controllable Field of View and Improved Imaging.


Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
19 Feb 2020
Historique:
pubmed: 6 2 2020
medline: 15 12 2020
entrez: 4 2 2020
Statut: ppublish

Résumé

Many arthropods have compound eyes, which are made up of numerous separate visual units (microlenses) or ommatidia. These natural compound eyes have exceptional optical properties such as wide field of view (FOV), low aberration, and fast motion tracking capability. In this paper, a large-scale artificial compound eye (ACE) is fabricated efficiently using a combination of inkjet printing and air-assisted deformation processes. Both size and geometry of the microlens are controlled via superposed drops on the substrate. The simulation results show that the light intensity of the ACE follows a systematic distribution for tilted incident light, which represents a significant improvement, compared to planar distributed microlenses. We then manufacture ACEs with different heights and diameters, and their FOVs are compared with the theoretically predicted results. The measured FOV was 50°-140°. The acceptance angles for the different ACEs are determined, and their relationship with the ratio of height to radius (H/r) of the microlens is investigated in more detail. Furthermore, the imaging properties of the microlenses with different angles of incidences are studied, which suggest a FOV up to 140° and an acceptance angle of about 50°. The microlens captures images even at an angle of incidence of about 60°. The corresponding distortion in both the

Identifiants

pubmed: 32011852
doi: 10.1021/acsami.9b20740
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8870-8878

Auteurs

Jiang Li (J)

State Key Laboratory for Manufacturing System Engineering , Xi'an Jiaotong University , Xi'an 710054 , China.
Shaanxi Key Laboratory of Intelligent Robots , Xi'an Jiaotong University , Xi'an 710049 , China.

Wenjun Wang (W)

State Key Laboratory for Manufacturing System Engineering , Xi'an Jiaotong University , Xi'an 710054 , China.
Shaanxi Key Laboratory of Intelligent Robots , Xi'an Jiaotong University , Xi'an 710049 , China.

Xuesong Mei (X)

State Key Laboratory for Manufacturing System Engineering , Xi'an Jiaotong University , Xi'an 710054 , China.
Shaanxi Key Laboratory of Intelligent Robots , Xi'an Jiaotong University , Xi'an 710049 , China.

Dongxiang Hou (D)

State Key Laboratory for Manufacturing System Engineering , Xi'an Jiaotong University , Xi'an 710054 , China.
Shaanxi Key Laboratory of Intelligent Robots , Xi'an Jiaotong University , Xi'an 710049 , China.

Aifei Pan (A)

State Key Laboratory for Manufacturing System Engineering , Xi'an Jiaotong University , Xi'an 710054 , China.
Shaanxi Key Laboratory of Intelligent Robots , Xi'an Jiaotong University , Xi'an 710049 , China.

Bin Liu (B)

State Key Laboratory for Manufacturing System Engineering , Xi'an Jiaotong University , Xi'an 710054 , China.
Shaanxi Key Laboratory of Intelligent Robots , Xi'an Jiaotong University , Xi'an 710049 , China.

Jianlei Cui (J)

State Key Laboratory for Manufacturing System Engineering , Xi'an Jiaotong University , Xi'an 710054 , China.
Shaanxi Key Laboratory of Intelligent Robots , Xi'an Jiaotong University , Xi'an 710049 , China.

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