A microscope configuration for nanometer 3-D movement monitoring accuracy

Beiderman, Yevgeny; Amsel, Avigail D.; Tzadka, Yaniv; Fixler, Dror; Micó, Vicente; Garcı́a, Javier; Teicher, Mina; Zalevsky, Zeev

doi:10.1016/j.micron.2010.05.020

Cited by 37 publications

(14 citation statements)

References 17 publications

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“…While we have previously established a direct relationship between back-reflected speckle patterns and positions of the reflecting particles28, the model outlined above is still suggestive and not yet concrete.…”

Section: Resultsmentioning

confidence: 83%

“Beating speckles” via electrically-induced vibrations of Au nanorods embedded in sol-gel

Ritenberg

Beilis

Ilovitsh

et al. 2014

Sci Rep

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Generation of macroscopic phenomena through manipulating nano-scale properties of materials is among the most fundamental goals of nanotechnology research. We demonstrate cooperative “speckle beats” induced through electric-field modulation of gold (Au) nanorods embedded in a transparent sol-gel host. Specifically, we show that placing the Au nanorod/sol-gel matrix in an alternating current (AC) field gives rise to dramatic modulation of incident light scattered from the material. The speckle light patterns take form of “beats”, for which the amplitude and frequency are directly correlated with the voltage and frequency, respectively, of the applied AC field. The data indicate that the speckle beats arise from localized vibrations of the gel-embedded Au nanorods, induced through the interactions between the AC field and the electrostatically-charged nanorods. This phenomenon opens the way for new means of investigating nanoparticles in constrained environments. Applications in electro-optical devices, such as optical modulators, movable lenses, and others are also envisaged.

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Section: Resultsmentioning

confidence: 83%

“Beating speckles” via electrically-induced vibrations of Au nanorods embedded in sol-gel

Ritenberg

Beilis

Ilovitsh

et al. 2014

Sci Rep

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“…This movement, though extremely small, can be detected by our speckle-based measurement system, since the movement precision that our technique can allow is in the nanometric scale. 30 It is important to emphasize that what we do not measure direct movements of the iris or the eye, and in fact aim to filter them out by performing measurements over sufficiently short time scales.…”

Section: Underlying Principle Of the Proposed Methods For Iop Monitoringmentioning

confidence: 99%

“…Such reflected light beats with the blood supply to the eye and the IOP changes will introduce small modifications on the way that the light becomes reflected. Since our technology is able to detect nanometric scale movements, 30 it will monitor very tiny modification in the secondary speckle generated by reflection in the iris/sclera. Those variations can be translated to IOP values after proper calibration.…”

Section: Introductionmentioning

confidence: 99%

New method for remote and repeatable monitoring of intraocular pressure variations

et al. 2014

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We present initial steps toward a new measurement device enabling high-precision, noncontact remote and repeatable monitoring of intraocular pressure (IOP)-based on an innovative measurement principle. Using only a camera and a laser source, the device measures IOP by tracking the secondary speckle pattern trajectories produced by the reflection of an illuminating laser beam from the iris or the sclera. The device was tested on rabbit eyes using two different methods to modify IOP: via an infusion bag and via mechanical pressure. In both cases, the eyes were stimulated with increasing and decreasing ramps of the IOP. As IOP variations changed the speckle distributions reflected back from the eye, data were recorded under various optical configurations to define and optimize the best experimental configuration for the IOP extraction. The association between the data provided by our proposed device and that resulting from controlled modification of the IOP was assessed, revealing high correlation (R2=0.98) and sensitivity and providing a high-precision measurement (5% estimated error) for the best experimental configuration. Future steps will be directed toward applying the proposed measurement principle in clinical trials for monitoring IOP with human subjects.

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“…This feature allows tracking the maxima intensity spots, the extraction of the trajectory movement. The extraction of the skin surface movement with nanometric accuracy (Zalevsky and Garcia, 2007;Beiderman et al, 2011a) can produce an estimation of the blood viscosity as well as its pulsation. Based on the skin movement, one may extract important biomedical parameters from a distance, without a contact, in a non-invasive way.…”

Section: Introductionmentioning

confidence: 99%

Automatic solution for detection, identification and biomedical monitoring of a cow using remote sensing for optimised treatment of cattle

Beiderman

Kunin

Kolberg

et al. 2014

J Agricult Engineer

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In this paper we show how a novel photonic remote sensing system assembled on a robotic platform can extract vital biomedical parameters from cattle including their heart beating, breathing and chewing activity. The sensor is based upon a camera and a laser using selfinterference phenomena. The whole system intends to provide an automatic solution for detection, identification and biomedical monitoring of a cow. The detection algorithm is based upon image processing involving probability map construction. The identification algorithms involve well known image pattern recognition techniques. The sensor is used on top of an automated robotic platform in order to support animal decision making. Field tests and computer simulated results are presented.

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A microscope configuration for nanometer 3-D movement monitoring accuracy

Cited by 37 publications

References 17 publications

“Beating speckles” via electrically-induced vibrations of Au nanorods embedded in sol-gel

“Beating speckles” via electrically-induced vibrations of Au nanorods embedded in sol-gel

New method for remote and repeatable monitoring of intraocular pressure variations

Automatic solution for detection, identification and biomedical monitoring of a cow using remote sensing for optimised treatment of cattle

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