Name
Title | ||
|---|---|---|
Piezoelectric Inkjet-Based One Cell Per One Droplet Automatic Printing By Image Processing |
Abstract | ||
|---|---|---|
Piezoelectric inkjet printer technology recently has gained attention and was utilized eject particles and cells of several tens of mu m scale, which is large compared to colloid used in printer ink. However, the inkjet head was originally design for color ink. Therefore, problems, such as, head clogging and trajectory error occurred. In this study, those problems were addressed, and optimal condition for stable cells ejection was verified. Furthermore, one cell per one droplet printing method was established by observing cells position on the inside of inkjet head. Finally, automatic one cell per one droplet printing system was successfully developed by processing image of the inkjet head to automatically detect cells position. The automatic one cell per one droplet printing system was successfully developed with 98% successful ratio. |
Year | Venue | Keywords |
|---|---|---|
2013 | 2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) | biotechnology |
Field | DocType | ISSN |
Object detection,Computer vision,Nanotechnology,Inkwell,Computer science,Image processing,Artificial intelligence,Acoustics,Drop (liquid),Piezoelectricity | Conference | 2153-0858 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryanto The | 1 | 0 | 0.34 |
| Shuichi Yamaguchi | 2 | 0 | 0.68 |
| Akira Ueno | 3 | 0 | 0.34 |
| Yoshitake Akiyama | 4 | 1 | 4.01 |
| Keisuke Morishima | 5 | 10 | 11.27 |