Lateral resolution enhancement of confocal microscopy based on structured detection method with spatial light modulator

Ni, He; Zou, Limin; Guo, Qingyuan; Ding, Xumin

doi:10.1364/oe.25.002872

Cited by 11 publications

(6 citation statements)

References 16 publications

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“…For example, scanning structured illumination microscopy 126 increases the spatial resolution of laser scanning microscopy with patterned illumination or detection. [127][128][129][130][131][132] Image scanning microscopy [133][134][135] increases the resolution of confocal microscopy [136][137][138] by a factor of ffiffi ffi 2 p simply by replacing the point detector of the confocal microscope with an array detector. Moreover, these super-resolution scanning microscopy methods provide optical sectioning, thereby enabling imaging of relatively thick biological samples.…”

Section: Structured Illumination Microscopymentioning

confidence: 99%

Review of bio-optical imaging systems with a high space-bandwidth product

Park

Brady

Zheng³

et al. 2021

Adv. Photon.

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Optical imaging has served as a primary method to collect information about biosystems across scales-from functionalities of tissues to morphological structures of cells and even at biomolecular levels. However, to adequately characterize a complex biosystem, an imaging system with a number of resolvable points, referred to as a space-bandwidth product (SBP), in excess of one billion is typically needed. Since a gigapixel-scale far exceeds the capacity of current optical imagers, compromises must be made to obtain either a low spatial resolution or a narrow field-of-view (FOV). The problem originates from constituent refractive optics-the larger the aperture, the more challenging the correction of lens aberrations. Therefore, it is impractical for a conventional optical imaging system to achieve an SBP over hundreds of millions. To address this unmet need, a variety of high-SBP imagers have emerged over the past decade, enabling an unprecedented resolution and FOV beyond the limit of conventional optics. We provide a comprehensive survey of high-SBP imaging techniques, exploring their underlying principles and applications in bioimaging.

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Section: Structured Illumination Microscopymentioning

confidence: 99%

Review of bio-optical imaging systems with a high space-bandwidth product

Park

Brady

Zheng³

et al. 2021

Adv. Photon.

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“…SIM has been widely used in optical sectioning, phase imaging, and 3D surface measurement [7]. As an expanded case, digital grating was introduced into virtual structured detection [8,9,10], for modulating measured patterns.…”

Section: Introductionmentioning

confidence: 99%

Tilt illumination for structured illumination imaging

et al. 2021

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To achieve super-resolution imaging, the information in higher frequency of the observed sample is collected by illuminating with a structure beam for a limited optical transfer function (OTF). In this paper, tilt illumination mode is introduced to structured illumination microscopy (SIM) for enhancing lateral resolution. More sample spectrum more than traditional SIM, can be obtained by detector. Thus, SIM with tilt illumination can be improved at the aspect of lateral imaging resolution.

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“…Among the investigations of lateral calibrations, many studies focus on the optical system [12]. For example, H. Ni et al proposed a new method to achieve structured detection using a spatial light modulator, which modulates the Airy disk amplitude distribution according to the detection function in the collection arm [13] and B. Wang et al presented confocal microscopy with structured detection in a coherent imaging process to achieve a higher resolution with a comparably large pinhole [14], however, the systematic geometric errors which adversely affect the relative position and orientation between measuring probes and measurands are usually neglected [15,16]. B. Daemi et al designed a comprehensive verification test by using a high precision metrology method based on subpixel resolution image analysis [17].…”

Section: Introductionmentioning

confidence: 99%

Characterization and Correction of the Geometric Errors using a Confocal Microscope for Extended Topography Measurement, Part II: Experimental Study and Uncertainty Evaluation

Wang

Gómez

2019

Electronics

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This paper presents the experimental implementations of the mathematical models and algorithms developed in Part I. Two experiments are carried out. The first experiment determines the correction coefficients of the mathematical model. The dot grid target is measured, and the measurement data are processed by our developed and validated algorithms introduced in Part I. The values of the coefficients are indicated and analyzed. Uncertainties are evaluated using the Monte Carlo method. The second experiment measures a different area of the dot grid target. The measurement results are corrected according to the coefficients determined in the first experiment. The mean residual between the measured points and their corresponding certified values reduced 29.6% after the correction. The sum of squared errors reduced 47.7%. The methods and the algorithms for raw data processing, such as data partition, fittings of dots' centers, K-means clustering, etc., are the same for the two experiments. The experimental results demonstrate that our method for the correction of the errors produced by the movement of the lateral stage of a confocal microscope is meaningful and practicable.

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Lateral resolution enhancement of confocal microscopy based on structured detection method with spatial light modulator

Cited by 11 publications

References 16 publications

Review of bio-optical imaging systems with a high space-bandwidth product

Review of bio-optical imaging systems with a high space-bandwidth product

Tilt illumination for structured illumination imaging

Characterization and Correction of the Geometric Errors using a Confocal Microscope for Extended Topography Measurement, Part II: Experimental Study and Uncertainty Evaluation

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