Tight integration of imaging, motion, and data acquisition techniques for fiber optic alignment in single and arrayed photonics devices

Ignazio E. M. Piacentini

doi:10.1117/12.498345

8 July 2003 Tight integration of imaging, motion and data acquisition techniques for the fiber optic alignment in single and arrayed photonics devices

Ignazio E. M. Piacentini

Author Affiliations +

Proceedings Volume 5036, Photonics, Devices, and Systems II; (2003) https://doi.org/10.1117/12.498345
Event: Photonics, Devices, and Systems II, 2002, Prague, Czech Republic

Abstract

Packaging and testing represent a good fraction of the cost of the current photonics devices. Packaging includes the complex transition from the input/output fibers to the device itself, which requires very accurate alignment, bonding, tracking while the curing process takes place, and verification of the complete assembly characteristics. Industry needs to lower the cost/increase the production rates of these devices and the answer to these needs is to automate assembly and testing. The most efficient way of achieving this is by tightly integrating image processing and analysis techniques with nanopositioning motion systems and data acquisition. The paper will provide details, results and performances of alignment systems based on these techniques.

Citation Download Citation

Ignazio E. M. Piacentini "Tight integration of imaging, motion and data acquisition techniques for the fiber optic alignment in single and arrayed photonics devices", Proc. SPIE 5036, Photonics, Devices, and Systems II, (8 July 2003); https://doi.org/10.1117/12.498345

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available