Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

9. Optical Data Compression in Time Stretch Imaging

verfasst von : Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali

Erschienen in: Artificial Intelligence in Label-free Microscopy

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Time stretch imaging offers real-time image acquisition at millions of frames per second and subnanosecond shutter speed, and has enabled detection of rare cancer cells in blood with record throughput and specificity. An unintended consequence of high-throughput image acquisition is the massive amount of digital data generated by the instrument. Here we report the first experimental demonstration of real-time optical image compression applied to time stretch imaging. By exploiting the sparsity of the image, we reduce the number of samples and the amount of data generated by the time stretch camera in our proof-of-concept experiments by about three times. Optical data compression addresses the big data predicament in such systems.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Deep Learning and Classification
Nächstes Kapitel Design of Warped Stretch Transform
Literatur
7.
Solli, D. R., Ropers, C., Koonath, P., & Jalali, B. (2007). Optical rogue waves. Nature, 450(7172), 1054–1057.CrossRef
8.
Ng, W., Rockwood, T., & Reamon, A. (2014). Demonstration of channel-stitched photonic time stretch analog-to-digital converter with enob > 8 for a 10 ghz signal bandwidth. In GOMACTech (p. 26.2). Washington, DC: US Department of Defense.
9.
Goda, K., & Jalali, B. (2013). Dispersive fourier transformation for fast continuous single-shot measurements. Nature Photonics, 7(2), 102–112.CrossRef
10.
Goda, K., Tsia, K. K., & Jalali, B. (2009). Serial time-encoded amplified imaging for real-time observation of fast dynamic phenomena. Nature, 458(7242), 1145–1149.CrossRef
12.
Mahjoubfar, A., Goda, K., Ayazi, A., Fard, A., Kim, S. H., & Jalali, B. (2011). High-speed nanometer-resolved imaging vibrometer and velocimeter. Applied Physics Letters, 98(10), 101107.CrossRef
13.
Goda, K., Mahjoubfar, A., Wang, C., Fard, A., Adam, J., Gossett, D. R., Ayazi, A., Sollier, E., Malik, O., Chen, E., et al. (2012). Hybrid dispersion laser scanner. Scientific Reports, 2, 445.CrossRef
14.
Yazaki, A., Kim, C., Chan, J., Mahjoubfar, A., Goda, K., Watanabe, M., & Jalali, B. (2014). Ultrafast dark-field surface inspection with hybrid-dispersion laser scanning. Applied Physics Letters, 104(25), 251106.CrossRef
15.
Wei, X., Lau, A. K. S., Xu, Y., Zhang, C., Mussot, A., Kudlinski, A., Tsia, K. K., & Wong, K. K. Y. (2014). Broadband fiber-optical parametric amplification for ultrafast time-stretch imaging at 1.0 μm. Optics Letters, 39(20), 5989–5992.CrossRef
17.
Mahjoubfar, A., Chen, C., Niazi, K. R., Rabizadeh, S., & Jalali, B. (2013). Label-free high-throughput cell screening in flow. Biomedical Optics Express, 4(9), 1618–1625.CrossRef
18.
Chen, H., Weng, Z., Liang, Y., Lei, C., Xing, F., Chen, M., & Xie, S. (2014). High speed single-pixel imaging via time domain compressive sampling. In CLEO: Applications and technology (pp. JTh2A–132). Washington, DC: Optical Society of America.
19.
Mahjoubfar, A., Chen, C., Niazi, K. R., Rabizadeh, S., & Jalali, B. (2014). Label-free high-throughput imaging flow cytometry. In SPIE LASE (pp. 89720F–89720F). Washington, DC: International Society for Optics and Photonics.
20.
Lau, A. K. S., Wong, T. T. W., Ho, K. K. Y., Tang, M. T. H., Chan, A. C. S., Wei, X., Lam, E. Y., Shum, H. C., Wong, K. K. Y., & Tsia, K. K. (2014). Interferometric time-stretch microscopy for ultrafast quantitative cellular and tissue imaging at 1 μm. Journal of Biomedical Optics, 19(7), 076001–076001.CrossRef
21.
Diebold, E. D., Buckley, B. W., Gossett, D. R., & Jalali, B. (2013). Digitally synthesized beat frequency multiplexing for sub-millisecond fluorescence microscopy. Nature Photonics, 7(10), 806–810.CrossRef
22.
Jalali, B., & Asghari, M. H. (2014). The anamorphic stretch transform: Putting the squeeze on ‘big data’. Optics and Photonics News, 25(2), 24–31.CrossRef
24.
Asghari, M. H., & Jalali, B. (2014). Experimental demonstration of optical real-time data compression. Applied Physics Letters, 104(11), 111101.CrossRef
25.
Jalali, B., Chan, J., & Asghari, M. H. (2014). Time–bandwidth engineering. Optica, 1(1), 23–31.CrossRef
26.
Chan, J., Mahjoubfar, A., Asghari, M., & Jalali, B. (2014). Reconstruction in time-bandwidth compression systems. Applied Physics Letters, 105(22), 221105.CrossRef
27.
Bosworth, B. T., & Foster, M. A. (2014). High-speed flow imaging utilizing spectral-encoding of ultrafast pulses and compressed sensing. In CLEO: Applications and technology (pp. ATh4P–3). Washington, DC: Optical Society of America.
28.
Valley, G. C., Sefler, G. A., & Shaw, T. J. (2012). Compressive sensing of sparse radio frequency signals using optical mixing. Optics Letters, 37(22), 4675–4677.CrossRef
29.
Mahjoubfar, A., Goda, K., Betts, G., & Jalali, B. (2013). Optically amplified detection for biomedical sensing and imaging. Journal of the Optical Society of America A, 30(10), 2124–2132.CrossRef
30.
Goda, K., Ayazi, A., Gossett, D. R., Sadasivam, J., Lonappan, C. K., Sollier, E., Fard, A. M., Hur, S. C., Adam, J., Murray, C., et al. (2012). High-throughput single-microparticle imaging flow analyzer. Proceedings of the National Academy of Sciences, 109(29), 11630–11635.CrossRef
46.
Qian, F., Song, Q., Tien, E.-K. Kalyoncu, S. K., & Boyraz, O. (2009). Real-time optical imaging and tracking of micron-sized particles. Optics Communications, 282(24), 4672–4675.CrossRef
68.
Carlo, D. D. (2009). Inertial microfluidics. Lab on a Chip, 9(21), 3038–3046.CrossRef
80.
Gupta, V., Jafferji, I., Garza, M., Melnikova, V., Hasegawa, D. K., Pethig, R., & Davis, D. W. (2012). ApostreamTM, a new dielectrophoretic device for antibody independent isolation and recovery of viable cancer cells from blood. Biomicrofluidics, 6(2), 024133.CrossRef
95.
Shapiro, H. M. (2005). Practical flow cytometry. New York: Wiley.
151.
Chen, C., Mahjoubfar, A., Huang, A., Niazi, K., Rabizadeh, S., & Jalali, B. (2014). Hyper-dimensional analysis for label-free high-throughput imaging flow cytometry. In CLEO: Applications and technology (pp. AW3L–2). Washington, DC: Optical Society of America.
152.
Wong, T. T., Lau, A. K. S., Ho, K. K. Y., Tang, M. Y. H., Robles, J. D. F., Wei, X., Chan, A. C. S., Tang, A. H., Lam, E. Y., Wong, K. K. Y., et al. (2014). Asymmetric-detection time-stretch optical microscopy (ATOM) for ultrafast high-contrast cellular imaging in flow. Scientific Reports, 4, 3656.
153.
Nichols, J. M., & Bucholtz, F. (2011). Beating nyquist with light: A compressively sampled photonic link. Optics Express, 19(8), 7339–7348.CrossRef
156.
Chen, Y., Yu, X., Chi, H., Jin, X., Zhang, X., Zheng, S., & Galili, M. (2014). Compressive sensing in a photonic link with optical integration. Optics Letters, 39(8), 2222–2224.CrossRef
157.
Wikimedia Commons YY (2007). An artwork by István Orosz.
158.
Adam, J., Mahjoubfar, A., Diebold, E. D., Buckley, B. W., & Jalali, B. (2013). Spectrally encoded angular light scattering. Optics Express, 21(23), 28960–28967.CrossRef
159.
Di Carlo, D., Irimia, D., Tompkins, R. G., & Toner, M. (2007). Continuous inertial focusing, ordering, and separation of particles in microchannels. Proceedings of the National Academy of Sciences, 104(48), 18892–18897.CrossRef
160.
Diebold, E. D., Hon, N. K., Tan, Z., Chou, J., Sienicki, T., Wang, C., & Jalali, B. (2011). Giant tunable optical dispersion using chromo-modal excitation of a multimode waveguide. Optics Express, 19(24), 23809–23817.CrossRef
Metadaten
Titel
Optical Data Compression in Time Stretch Imaging
verfasst von
Ata Mahjoubfar
Claire Lifan Chen
Bahram Jalali
Copyright-Jahr
2017
Buch
Artificial Intelligence in Label-free Microscopy

Print ISBN: 978-3-319-51447-5

Electronic ISBN: 978-3-319-51448-2

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-51448-2_9

Neuer Inhalt

    Bildnachweise