Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-09T15:07:20.278Z Has data issue: false hasContentIssue false

16 - Hyperspectral Eye

from Part III - Systems and Applications

Published online by Cambridge University Press:  05 December 2015

Ulrike Wallrabe
Affiliation:
University of Freiburg, Germany
Moritz Stürmer
Affiliation:
University of Freiburg, Germany
Erik Förster
Affiliation:
Ernst Abbe University of Applied Sciences, Jena, Germany
Robert Brunner
Affiliation:
Ernst Abbe University of Applied Sciences, Jena, Germany
Hans Zappe
Affiliation:
Albert-Ludwigs-Universität Freiburg, Germany
Claudia Duppé
Affiliation:
Albert-Ludwigs-Universität Freiburg, Germany
Get access

Summary

Hyperspectral Imaging

The exceptional vision capabilities of the mantis shrimp have inspired us to design a new system for hyperspectral imaging. Beyond the natural model, the introduced system allows us to select between two modes: one for pure imaging and a second for line-wise spectral analysis. Thus, in order to assure a compact system providing high image quality, our approach is to use an adaptive lens, on the one hand, and “saccade type” movements of the imaging unit on the other. To change from the imaging into the spectral mode, a variable grating has to be switched active, and a slit aperture has to be closed and scanned. A reliable, compact hyperspectral image camera will be a valuable tool wherever spectral information is needed, such as in quality control of industrial production or in the agri-food industry.

The Natural Model

Hyperspectral imaging combines lateral imaging with spectroscopy and provides a wavelength resolved measurement for each image pixel. The perception of colors in the surrounding environment offers a wide range of additional information compared to simple dark and bright intensity measurements. In nature, various selective color detection systems evolved over millions of years to discriminate between the different wavelengths, whereas the specific implementation varies significantly in the animal world. Many mammals, such as cats, dogs, and horses, have only two color receptor types; humans and bees have three; many birds and fish have four; and some butterflies possess up to eight different color receptors (Koshitaka et al. 2008).

With twelve color receptors, the mantis shrimp could be called the world champion in this field. This marine crustacean, hunts for prey such as snails, crabs, or molluscs by spearing or smashing them at high speed with its exceptional striking claws. The mantis shrimp possesses compound eyes of the apposition type, which are stalk-mounted and can thus be moved independently from one another. Figure 16.1 shows a close-up of the shrimp's eyes.

Each of the mantis shrimp's eyes is composed of an upper and a lower hemisphere that are separated from each other by a mid-band. The mid-band region is made up of six rows, and contains sixteen different light receptors, twelve of which are used to differentiate color and four to distinguish various polarization states (Cronin & Marshall 2001, Land & Nilsson 2012, Land et al. 1990, Marshall & Oberwinkler 1999).

Type
Chapter
Information
Tunable Micro-optics , pp. 395 - 416
Publisher: Cambridge University Press
Print publication year: 2015

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adams, C. S. (2000), ‘A mechanical shutter for light using piezoelectric actuators’, Review of Scientific Instruments 71(1), 59–60.CrossRefGoogle Scholar
Aschwanden, M., Beck, M. & Stemmer, A. (2007), ‘Diffractive transmission grating tuned by dielectric elastomer actuator’, Photonics Technology Letters, IEEE 19(14), 1090–1092.CrossRefGoogle Scholar
Bloom, D. M. (1997), ‘Grating light valve: revolutionizing display technology’, Proceedings of SPIE 3013, 165–171.Google Scholar
Chang, C. (2003), ‘Hyperspectral imaging: techniques for spectral detection and classification’, number 1 in Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Springer Science+Business Media.CrossRefGoogle Scholar
Chen, H., Sheng, H., Li, Y., Tyan, W. & Fu, C. (2008), ‘Liquid optic deflector’, in The 3rd International Microsystems, Packaging, Assembly Circuits Technology Conference (IMPACT), pp. 36–39.Google Scholar
Choi, H.-Y., Han, W. & Cho, Y.-H. (2010), ‘Low-power high-speed electromagnetic flapping shutters using trapezoidal shutter blades suspended by H-type torsional springs’, Journal of Microelectromechanical Systems 19(6), 1422–1429.CrossRefGoogle Scholar
Chronis, N., Okandan, M., Baker, M. & Lee, L. (2005), ‘A 2-D translational pinhole formed by two orthogonally moving micro-slits’, in The 13th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS), Vol. 1, pp. 1022–1025.Google Scholar
Cronin, T.W. & Marshall, J. (2001), ‘Parallel processing and image analysis in the eyes of mantis shrimps’, The Biological Bulletin 200(2), 177–183.CrossRefGoogle ScholarPubMed
Cu-Nguyen, P.-H., Grewe, A., Hillenbrand, M., Sinzinger, S., Seifert, A. & Zappe, H. (2013), ‘Tunable hyperchromatic lens system for confocal hyperspectral sensing’, Optics Express 21(23), 27611–27621.CrossRefGoogle ScholarPubMed
Denk, W., Piston, D. & Webb, W. (1995), ‘Two-photon molecular excitation in laser-scanning microscopy’, in J., Pawley, ed., Handbook of Biological Confocal Microscopy, Springer Science+Business Media, pp. 445–458.Google Scholar
Draheim, J., Burger, T., Korvink, J. G. & Wallrabe, U. (2011), ‘Variable aperture stop based on the design of a single chamber silicone membrane lens with integrated actuation’, Optics Letters 36(11), 2032–2034.CrossRefGoogle ScholarPubMed
Efron, U., ed. (1995), Spatial Light Modulator Technology: Materials, Devices, and Applications, CRC Press, Boca Raton, FL.
Eichenholz, J. M. (2010), ‘Sequential filter wheel multispectral imaging systems’, in Imaging and Applied Optics Congress, Optical Society of America.
Ford, B. K., Volin, C. E., Murphy, S. M., Lynch, R. M. & Descour, M. R. (2001), ‘Computed tomography-based spectral imaging for fluorescence microscopy’, Biophysical Journal 80(2), 986–993.CrossRefGoogle ScholarPubMed
Förster, E., Stürmer, M., Wallrabe, U., Korvink, J. & Brunner, R. (2015), ‘Bio-inspired variable imaging system simplified to the essentials: modelling accommodation and gaze movement’, Optics Express 23(2), 929–942.CrossRefGoogle ScholarPubMed
Gao, X., Cui, Y., Levenson, R. M., Chung, L. W. & Nie, S. (2004), ‘In vivo cancer targeting and imaging with semiconductor quantum dots’, Nature biotechnology 22(8), 969–976.CrossRefGoogle ScholarPubMed
Garini, Y., Young, I. T. & McNamara, G. (2006), ‘Spectral imaging: Principles and applications’, Cytometry Part A 69A(8), 735–747.CrossRefGoogle Scholar
Gat, N. (2000), ‘Imaging spectroscopy using tunable filters: a review’, Proceedings of SPIE 4056, 50–64.Google Scholar
Gehm, M. E., John, R., Brady, D. J., Willett, R. M. & Schulz, T. J. (2007), ‘Single-shot compressive spectral imaging with a dual-disperser architecture’, Optics Express 15(21), 14013–14027.CrossRefGoogle ScholarPubMed
Grzybowski, B. A., Qin, D. & Whitesides, G. M. (1999), ‘Beam redirection and frequency filtering with transparent elastomeric diffractive elements’, Applied Optics 38(14), 2997–3002.CrossRefGoogle ScholarPubMed
Grzybowski, B., Qin, D., Haag, R. & Whitesides, G. M. (2000), ‘Elastomeric optical elements with deformable surface topographies: applications to force measurements, tunable light transmission and light focusing’, Sensors and Actuators A: Physical 86, 81 – 85.CrossRefGoogle Scholar
Harm, W., Roider, C., Jesacher, A., Bernet, S. & Ritsch-Marte, M. (2014), ‘Dispersion tuning with a varifocal diffractive-refractive hybrid lens’, Optics Express 22(5), 5260–5269.CrossRefGoogle ScholarPubMed
Hinnrichs, M., Jensen, J. O. & McAnally, G. (2004), ‘Handheld hyperspectral imager for standoff detection of chemical and biological aerosols’, Proceedings of SPIE 5268, 67–78.Google Scholar
Hou, L., Smith, N. R. & Heikenfeld, J. (2007), ‘Electrowetting manipulation of any optical film’, Applied Physics Letters 90(25), 251114.CrossRefGoogle Scholar
Inoue, Y. & Peñuelas, J. (2001), ‘An AOTF-based hyperspectral imaging system for field use in ecophysiological and agricultural applications’, International Journal of Remote Sensing 22(18), 3883–3888.CrossRefGoogle Scholar
Koshitaka, H., Kinoshita, M., Vorobyev, M. & Arikawa, K. (2008), ‘Tetrachromacy in a butterfly that has eight varieties of spectral receptors’, Proceedings of the Royal Society B: Biological Sciences 275(1637), 947–954.CrossRefGoogle Scholar
Kwon, Y., Choi, Y., Choi, K., Kim, Y., Choi, S., Lee, J. & Bae, J. (2014), Development of micro variable optics array, in ‘The 27th International Conference on Micro Electro Mechanical Systems (MEMS)’, pp. 72–75.Google Scholar
Land, M. F., Marshall, J. N., Brownless, D. & Cronin, T. (1990), ‘The eye-movements of the mantis shrimp odontodactylus scyllarus (crustacea: Stomatopoda)’, Journal of Comparative Physiology A 167(2), 155–166.CrossRefGoogle Scholar
Land, M. F. & Nilsson, D.-E. (2012), Animal eyes, Oxford University Press, New York.CrossRefGoogle Scholar
Lee, J. H., Lee, C. W., Kang, K. I., Jang, T. S., Yang, H. S., Han, W., Park, J. O. & Rhee, S. W. (2007), ‘A compact imaging spectrometer (COMIS) for the microsatellite STSAT3’, Proceedings of SPIE 6744, 67441C–67441C–8.Google Scholar
Leopold, S., Paetz, D., Knoebber, F., Polster, T., Ambacher, O., Sinzinger, S. & Hoffmann, M. (2011), ‘Tunable refractive beam steering using aluminum nitride thermal actuators’, Proceedings of SPIE 7931, 79310B–79310B–7.CrossRefGoogle Scholar
Li, L., Liu, C., Wang, M.-H. & Wang, Q.-H. (2013), ‘Adjustable optical slit based on electrowetting’, Photonics Technology Letters 25(24), 2423–2426.CrossRefGoogle Scholar
Li, L. & Uttamchandani, D. (2006), ‘Twin-bladed microelectro mechanical systems variable optical attenuator’, Optical Review 13(2), 93–100.CrossRefGoogle Scholar
Lin, R., Dennis, B. & Benz, A. (2003), The Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) - Mission Description and Early Results, Springer.CrossRefGoogle Scholar
Marshall, J. & Oberwinkler, J. (1999), ‘Ultraviolet vision: The colourful world of the mantis shrimp’, Nature 401(6756), 873–874.CrossRefGoogle Scholar
Miller, P. J. (1991), ‘Use of tunable liquid crystal filters to link radiometric and photometric standards’, Metrologia 28(3), 145.CrossRefGoogle Scholar
Müller, P., Feuerstein, R. & Zappe, H. (2012), ‘Integrated optofluidic iris’, Journal of Microelectromechanical Systems 21(5), 1156–1164.CrossRefGoogle Scholar
Rogers, J. A., Schueller, O. J. A., Marzolin, C. & Whitesides, G. M. (1997), ‘Wave-front engineering by use of transparent elastomeric optical elements’, Applied Optics 36(23), 5792–5795.CrossRefGoogle ScholarPubMed
Ryba, B., Förster, E. & Brunner, R. (2014), ‘Flexible diffractive gratings: theoretical investigation of the dependency of diffraction efficiency on mechanical deformation’, Applied Optics 53(7), 1381–1387.CrossRefGoogle ScholarPubMed
Schuhladen, S., Banerjee, K., Stuermer, M., Mueller, P., Wallrabe, U. & Zappe, H. (2014), ‘Scannable optofluidic slit’, in IEEE Photonics Conference (IPC), pp. 568–569.Google Scholar
Schultz, R. A., Nielsen, T., Zavaleta, J. R., Ruch, R., Wyatt, R. & Garner, H. R. (2001), ‘Hyperspectral imaging: A novel approach for microscopic analysis’, Cytometry 43(4), 239–247.3.0.CO;2-Z>CrossRefGoogle ScholarPubMed
Shonat, R., Wachman, E., Niu, W., Koretsky, A. & Farkas, D. (1997), ‘Near-simultaneous hemoglobin saturation and oxygen tension maps in mouse brain using an AOTF microscope’, Biophysical Journal 73(3), 1223 – 1231.CrossRefGoogle ScholarPubMed
Smith, W. L., Zhou, D. K., Harrison, F. W., Revercomb, H. E., Larar, A. M., Huang, H.-L. & Huang, B. (2001), ‘Hyperspectral remote sensing of atmospheric profiles from satellites and aircraft’, Proceedings of SPIE 4151, 94–102.Google Scholar
Takei, A., Iwase, E., Hoshino, K., Matsumoto, K. & Shimoyama, I. (2007), ‘Angle-tunable liquid wedge prism driven by electrowetting’, Microelectromechanical Systems, Journal of 16(6), 1537–1542.CrossRefGoogle Scholar
Townsend, P., Foster, J., Chastain, R.A., J. & Currie, W. (2003), ‘Application of imaging spectroscopy to mapping canopy nitrogen in the forests of the central appalachian mountains using Hyperion and AVIRIS’, IEEE Transactions on Geoscience and Remote Sensing 41(6), 1347–1354.CrossRefGoogle Scholar
Tran, C. D. (2003), ‘Infrared multispectral imaging: Principles and instrumentation’, Applied Spectroscopy Reviews 38(2), 133–153.
Trisnadi, J. I., Carlisle, C. B. & Monteverde, R. (2004), ‘Overview and applications of grating-light-valve-based optical write engines for high-speed digital imaging’, Proceedings of SPIE 5348, 52–64.Google Scholar
Vuilleumier, R. & Kraiczek, K. (1995), ‘Variable-entrance-slit system for precision spectrophotometers’, Sensors and Actuators A: Physical 50(1–2), 87–91.CrossRefGoogle Scholar
Wagadarikar, A., John, R., Willett, R. & Brady, D. (2008), ‘Single disperser design for coded aperture snapshot spectral imaging’, Applied Optics 47(10), B44–51.CrossRefGoogle ScholarPubMed
Weser, T., Rottensteiner, F., Willneff, J. & Fraser, C. (2008), ‘An improved pushbroom scanner model for precise georeferencing of alos prism imagery’, in ISPRS Congress, Vol. 21, pp. 724–729.Google Scholar
Wilson, I. & Cocks, T. (2003), ‘Development of the airborne reflective emissive spectrometer (ARES)-a progress report’, in The 3rd EARSeL Workshop on Imaging Spectroscopy, pp. 13–16.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Hyperspectral Eye
  • Edited by Hans Zappe, Albert-Ludwigs-Universität Freiburg, Germany, Claudia Duppé, Albert-Ludwigs-Universität Freiburg, Germany
  • Book: Tunable Micro-optics
  • Online publication: 05 December 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139506052.016
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Hyperspectral Eye
  • Edited by Hans Zappe, Albert-Ludwigs-Universität Freiburg, Germany, Claudia Duppé, Albert-Ludwigs-Universität Freiburg, Germany
  • Book: Tunable Micro-optics
  • Online publication: 05 December 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139506052.016
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Hyperspectral Eye
  • Edited by Hans Zappe, Albert-Ludwigs-Universität Freiburg, Germany, Claudia Duppé, Albert-Ludwigs-Universität Freiburg, Germany
  • Book: Tunable Micro-optics
  • Online publication: 05 December 2015
  • Chapter DOI: https://doi.org/10.1017/CBO9781139506052.016
Available formats
×