Super-resolution confocal microscopy with structured detection

Wang, Baokai; Zou, Limin; Zhang, Su; Tan, Jiubin

doi:10.1016/j.optcom.2016.07.005

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…3D-SIM, like other super-resolution methods, is sensitive to low levels of system and specimen-induced aberrations, even at a depth typical of single cells in culture. Such minor aberrations tend to be insignificant in conventional microscopy modalities such as widefield and confocal (Wang and Zhang, 2021). Therefore, we first verified the degree of resolution enhancement by 3D-SIM in mammalian tissue culture COS-7 cells ( Fig.…”

Section: Resultsmentioning

confidence: 99%

Deep super-resolution imaging of thick tissue using structured illumination with adaptive optics

Wang,

Stoychev,

Phillips

et al. 2023

Preprint

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Abstract3D structured illumination microscopy (3D-SIM) doubles the resolution of fluorescence imaging and increases contrast in both fixed and live specimens. However, 3D-SIM has so far not been widely applied to imaging deep in thick tissues due to its sensitivity to specimen-induced aberrations, making the method difficult to apply beyond 10 µm in depth. Furthermore, 3D-SIM has not been available in an upright configuration, limiting its use for live imaging while manipulating the specimen, for example with electrophysiology. Here, we have overcome these barriers by developing a novel upright 3D-SIM system (termed DeepSIM) that incorporates adaptive optics (AO) for aberration correction and remote focusing, reducing artifacts, and removing the need to move the specimen or objective. Both these advantages are equally applicable to inverted 3D-SIM microscopes. We demonstrate high-quality 3D-SIM imaging up to 130 µm into complex tissue and live sample manipulation, including human cells andDrosophilalarval brains and embryos.

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Section: Resultsmentioning

confidence: 99%

Deep super-resolution imaging of thick tissue using structured illumination with adaptive optics

Wang,

Stoychev,

Phillips

et al. 2023

Preprint

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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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Image scanning microscopy

Gregor

2019

Current Opinion in Chemical Biology

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Super-resolution confocal microscopy with structured detection

Cited by 5 publications

References 18 publications

Deep super-resolution imaging of thick tissue using structured illumination with adaptive optics

Deep super-resolution imaging of thick tissue using structured illumination with adaptive optics

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

Image scanning microscopy

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