Title |
To image, or not to image: class-specific diffractive cameras with all-optical erasure of undesired objects
|
---|---|
Published in |
eLight, August 2022
|
DOI | 10.1186/s43593-022-00021-3 |
Authors |
Bijie Bai, Yi Luo, Tianyi Gan, Jingtian Hu, Yuhang Li, Yifan Zhao, Deniz Mengu, Mona Jarrahi, Aydogan Ozcan |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 14% |
Korea, Republic of | 1 | 3% |
China | 1 | 3% |
Portugal | 1 | 3% |
Canada | 1 | 3% |
India | 1 | 3% |
Brazil | 1 | 3% |
France | 1 | 3% |
Singapore | 1 | 3% |
Other | 1 | 3% |
Unknown | 16 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 72% |
Scientists | 5 | 17% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 21% |
Student > Master | 2 | 14% |
Student > Bachelor | 1 | 7% |
Other | 1 | 7% |
Professor | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 36% |
Computer Science | 1 | 7% |
Materials Science | 1 | 7% |
Physics and Astronomy | 1 | 7% |
Unknown | 6 | 43% |