OSA's Digital Library

Optics Express

Optics Express

  • Editor: Michael Duncan
  • Vol. 10, Iss. 25 — Dec. 16, 2002
  • pp: 1451–1457

Aberration measurement from confocal axial intensity response using neural network

Y. Yasuno, T. Yatagai, T. F. Wiesendanger, A. K. Ruprecht, and H. J. Tiziani  »View Author Affiliations


Optics Express, Vol. 10, Issue 25, pp. 1451-1457 (2002)
http://dx.doi.org/10.1364/OE.10.001451


View Full Text Article

Enhanced HTML    Acrobat PDF (392 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

We propose a high-speed, parallel system for lens aberration measurement employing a confocal optical setup. This method uses a non-interferometric, conventional confocal axial response to determine the spherical aberration coefficient of a confocal objective. The aberration coefficients are successfully calculated from the intensity axial response by employing a neural network. It is estimated that the system can find out the aberration coefficients of 10,000 microlenses in 20 seconds of measurement and 1 second of calculation time. Our experimental results also demonstrate the practicality of this system.

© 2002 Optical Society of America

OCIS Codes
(180.1790) Microscopy : Confocal microscopy
(200.4260) Optics in computing : Neural networks

ToC Category:
Research Papers

History
Original Manuscript: July 25, 2002
Revised Manuscript: November 28, 2002
Published: December 16, 2002

Citation
Yoshiaki Yasuno, T. Yatagai, T. Wiesendanger, A. Ruprecht, and H. Tiziani, "Aberration measurement from confocal axial intensity response using neural network," Opt. Express 10, 1451-1457 (2002)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-10-25-1451


Sort:  Journal  |  Reset  

References

  1. H. J. Matthews and D. K. Hamilton and C. J. R. Sheppard, �??Aberration Measurement by Confocal Interferometry,�?? J. Mod. Opt. 36, 233�??250 (1989). [CrossRef]
  2. H. Zhouand M. Guand C. J. R. Sheppard, �??Investigation of Aberration Measurement in Confocal Microscopy,�?? J. Mod. Opt. 42, 627�??638 (1995). [CrossRef]
  3. H. Zhouand C. J. R. Sheppard, �??Aberration measurement in confocal microscopy: phase retrieval from a single intensity measurement,�?? J. Mod. Opt. 44, 1553�??1561 (1997). [CrossRef]
  4. Hans J. Tiziani, Hans-Martin Uhde, �??Three dimensional analysis by a microlens-array confocal arrangement,�?? Appl. Opt. 33, 567�??572 (1994). [CrossRef] [PubMed]
  5. H. J. Tiziani and R. Achi and R. N. Kramer and L. Wiegers, �??Theoretical analysis of confocal microscopy with microlenses,�?? Appl. Opt. 35, 120�??125 (1996). [CrossRef] [PubMed]
  6. H. J. Tiziani and T. Haist and S. Reuter, �??Optical inspection and characterization of microoptics using confocal microscopy,�?? Opt. and Laser Eng. 36, 403�??415 (2001). [CrossRef]
  7. T. R. Corle and C.-H. Chouand G. S. Kino, �??Depth Response of Confocal Optical Microscopes,�?? Opt. Lett. 11, 770�??772 (1986). [CrossRef] [PubMed]
  8. T. Wilson and A. R. Carlini, �??The E.ect of Aberrations on the Axial Response of Confocal Imaging System,�?? J. Microscopy 154 243�??256 (1989). [CrossRef]
  9. Joseph M. Geary and Phil Peterson, �??Spherical aberration: a possible new measurement technique,�?? Opt. Eng. 25 286�??291 (1986).
  10. Qian Gong and Smiley S. Hsu, �??Aberration measurement using axial intensity,�?? Opt. Eng. 33 1176�??1186 (1994). [CrossRef]
  11. Todd K. Barrett and David G. Sandler, �??Arti.cial neural network for determination of Hubble Space Telescope aberration from stellar images,�?? Appl. Opt. 32, 1720�??1727 (1993) [CrossRef] [PubMed]
  12. Tae-Seok Yang and Jun Ho Oh, �??Identification of primary aberrations on a lateral shearing interferogram of optical components using neural network,�?? Opt. Eng. 40, 2771�??2779 (2001). [CrossRef]
  13. Developed at University of Stuttgart, Maintained at University of Tubingen, �??Stuttgart Neural Network Simulator,�?? <a href="http://www-ra.informatik.uni-tuebingen.de/SNNS/">http://www-ra.informatik.uni-tuebingen.de/SNNS/</a>.
  14. D. E. Rumelhart and G. E. Hinton and R. J. Williams, �??Learning representation by backpropagation errors,�?? Nature 323, 583�??586 (1986). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited