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Hybrid Printing for the Fabrication of Smart Sensors
Published on: January 31, 2019
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Biomaterial-Based Biomimetic Visual Sensors: Inkjet Patterning of Bacteriorhodopsin.
Hiroyuki Hasegawa1,2,3, Kairi Sakamoto2,3, Kazuya Shomura1,3
1Faculty of Education, Shimane University, Matsue, Shimane 690-8504, Japan.
ACS Applied Materials & Interfaces
|September 13, 2023
Summary
Researchers developed biomimetic visual sensors using bacteriorhodopsin (bR) and inkjet printing. This method allows for precise control over photocurrent intensity and enables the creation of advanced visual filters for efficient, real-time image processing.
Area of Science:
- Biomaterials Science
- Sensor Technology
- Optoelectronics
Background:
- Bacteriorhodopsin (bR) is a light-sensitive protein with potential for biomimetic sensor applications.
- Traditional fabrication methods for bR-based sensors can be limiting in terms of patterning and control.
- Developing energy-efficient visual sensors is crucial for advanced information processing.
Purpose of the Study:
- To fabricate biomimetic visual sensors using bacteriorhodopsin (bR) via an inkjet printing method.
- To investigate the photocurrent response and control capabilities of inkjet-printed bR films.
- To demonstrate the application of this technique in creating functional visual filters for image processing.
Main Methods:
- Fabrication of bR films using an inkjet printing method for precise deposition.
- Characterization of time-differential photocurrent response of the printed bR films.
- Design and fabrication of two-dimensional Difference of Gaussian (DOG) and Gabor filters using inkjet printing.
Main Results:
- Inkjet-printed bR films exhibited photocurrent responses comparable to dip-coated films.
- Photocurrent intensity was controllable by adjusting the number of printed bR layers.
- Successfully fabricated DOG filters for edge detection and Gabor filters for object detection (size, motion, orientation).
Conclusions:
- Inkjet printing is a viable and versatile method for fabricating highly functional biomaterial-based visual sensors.
- These bR-based sensors offer energy-efficient, real-time visual information processing capabilities.
- The developed technique holds significant potential for widespread implementation in advanced visual sensing applications.

