Cross structured illumination for high speed high resolution line scanning confocal microscopy

Ahn, MyoungKi; Kim, Taejoong; Kim, YoungDuk; Gweon, Dae−Gab; Lee, Junhee

doi:10.1088/0957-0233/22/1/015503

Cited by 6 publications

(5 citation statements)

References 22 publications

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“…In this paper we are not considering the so-called structured light (see for example [17][18][19]), often used in three-dimensional shape measurements. In such applications, structured light is used to project a geometric pattern, i.e.…”

Section: Methods and Instrumentationmentioning

confidence: 99%

Optimization of spatial light distribution through genetic algorithms for vision systems applied to quality control

Castellini¹,

Cecchini²,

Stroppa³

et al. 2015

Meas. Sci. Technol.

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The paper presents an adaptive illumination system for image quality enhancement in vision-based quality control systems. In particular, a spatial modulation of illumination intensity is proposed in order to improve image quality, thus compensating for different target scattering properties, local reflections and fluctuations of ambient light. The desired spatial modulation of illumination is obtained by a digital light projector, used to illuminate the scene with an arbitrary spatial distribution of light intensity, designed to improve feature extraction in the region of interest. The spatial distribution of illumination is optimized by running a genetic algorithm. An image quality estimator is used to close the feedback loop and to stop iterations once the desired image quality is reached. The technique proves particularly valuable for optimizing the spatial illumination distribution in the region of interest, with the remarkable capability of the genetic algorithm to adapt the light distribution to very different target reflectivity and ambient conditions. The final objective of the proposed technique is the improvement of the matching score in the recognition of parts through matching algorithms, hence of the diagnosis of machine vision-based quality inspections. The procedure has been validated both by a numerical model and by an experimental test, referring to a significant problem of quality control for the washing machine manufacturing industry: the recognition of a metallic clamp. Its applicability to other domains is also presented, specifically for the visual inspection of shoes with retro-reflective tape and T-shirts with paillettes.

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Section: Methods and Instrumentationmentioning

confidence: 99%

Optimization of spatial light distribution through genetic algorithms for vision systems applied to quality control

Castellini¹,

Cecchini²,

Stroppa³

et al. 2015

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…80,81 Combined with cross-structured illumination pattern optics and line-scanning confocal microscopy, the cross-structured illumination confocal microscope improves lateral resolution and image acquisition speed. 82 In this scheme, however, axial resolution is compromised because of the reduced effective NA of the objective. Using Bessel beam plane illumination, rapid 3D isotropic imaging of living cells can be performed.…”

Section: Available Super-resolution Microscopy Techniquesmentioning

confidence: 99%

Super-Resolution Scanning Laser Microscopy Based on Virtually Structured Detection

Zhi

Wang

Yao

2015

Crit Rev Biomed Eng

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Light microscopy plays a key role in biological studies and medical diagnosis. The spatial resolution of conventional optical microscopes is limited to approximately half the wavelength of the illumination light as a result of the diffraction limit. Several approaches—including confocal microscopy, stimulated emission depletion microscopy, stochastic optical reconstruction microscopy, photoactivated localization microscopy, and structured illumination microscopy—have been established to achieve super-resolution imaging. However, none of these methods is suitable for the super-resolution ophthalmoscopy of retinal structures because of laser safety issues and inevitable eye movements. We recently experimentally validated virtually structured detection (VSD) as an alternative strategy to extend the diffraction limit. Without the complexity of structured illumination, VSD provides an easy, low-cost, and phase artifact–free strategy to achieve super-resolution in scanning laser microscopy. In this article we summarize the basic principles of the VSD method, review our demonstrated single-point and line-scan super-resolution systems, and discuss both technical challenges and the potential of VSD-based instrumentation for super-resolution ophthalmoscopy of the retina.

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“…Two beams are differently imaged by a line CCD and the final image is reconstructed by image processing. A detailed description of the working principle has been presented in our previous research on the design and analysis of the CSICM [17] This research focuses on the experimental results for the performance of the CSICM.…”

Section: System Configurationmentioning

confidence: 99%

Design and analysis of a cross-type structured-illumination confocal microscope for high speed and high resolution

Kim¹,

Ahn²,

Kim³

et al. 2012

Meas. Sci. Technol.

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There have been many studies about a super resolution microscope for many years. A super resolution microscope can detect the physical phenomena or morphology of a biological sample more precisely than conventional microscopes. The structured-illumination microscope (SIM) is one of the technologies that demonstrate super resolution. However, the conventional SIM requires more time to obtain one resolution-enhanced image than other super resolution microscopes. More specifically, the conventional SIM uses three images with a 120° phase difference for each direction and three different directions are image-processed to make one resolution enhancement by increasing the optical transfer function in three directions. In this paper, we present a novel cross structured-illumination confocal microscope (CSICM) that takes the advantage of the technology of both SIM and the confocal microscope. The CSICM uses only two directions with three phase difference images, for a total of six images. By reducing the number of images that must be obtained, the total image acquisition time and image reconstruction time in obtaining the final output images can be decreased, and the confocal microscope provides axial information of the sample automatically. We demonstrate our method of cross illumination and evaluate the performance of the CSICM and compare it to the conventional SIM and the confocal microscope.

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Cross structured illumination for high speed high resolution line scanning confocal microscopy

Cited by 6 publications

References 22 publications

Optimization of spatial light distribution through genetic algorithms for vision systems applied to quality control

Optimization of spatial light distribution through genetic algorithms for vision systems applied to quality control

Super-Resolution Scanning Laser Microscopy Based on Virtually Structured Detection

Design and analysis of a cross-type structured-illumination confocal microscope for high speed and high resolution

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