Three-dimensional resolution and contrast-enhanced confocal microscopy with array detection

Ge, Baoliang; Wang, Yifan; Huang, Yujia; Kuang, Cuifang; Fang, Yue; Xiu, Peng; Rong, Zihao; Liu, Xu

doi:10.1364/ol.41.002013

Cited by 21 publications

(21 citation statements)

References 13 publications

(2 reference statements)

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“…In FED, the imaging result is constructed by intensity subtraction of two different images with different PSFs. In Ge's work (Ge et al ., ), the two confocal images were chosen to be the images formed by the inside and outside groups of detectors on the detector array and the imaging result can be expressed as

IFED = \sum_{i = 1}^{7} I i - q \cdot \sum_{i = 8}^{32} I i,

where q is the subtraction factor,

\sum_{i = 1}^{7} I_{i}

indicates the inner ring detectors that lie closest to the optical axis and

\sum_{i = 8}^{32} I i

is the outer ring detectors that are much further from the optical axis. Besides, in Eq.…”

Section: Theorymentioning

confidence: 99%

“…In FED, the imaging result is constructed by intensity subtraction of two different images with different PSFs. In Ge's work (Ge et al, 2016), the two confocal images were chosen to be the images formed by the inside and outside groups of detectors on the detector array and the imaging result can be expressed as…”

Section: Isfedmentioning

confidence: 99%

“…Based on the confocal microscopy setup, Ge et al proposed a novel method by applying the detector array and FED method to achieve higher 3D resolution and the simplicity of processing compared with that of confocal microscopy (Ge et al, 2016). The FED method is used in Ge's work as the subtraction between the images from the inner ring detectors (from detector 1-7 shown in the inset of Fig.…”

Section: Introductionmentioning

confidence: 99%

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Image scanning fluorescence emission difference microscopy based on a detector array

Liu

et al. 2017

Journal of Microscopy

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We propose a novel imaging method that enables the enhancement of three-dimensional resolution of confocal microscopy significantly and achieve experimentally a new fluorescence emission difference method for the first time, based on the parallel detection with a detector array. Following the principles of photon reassignment in image scanning microscopy, images captured by the detector array were arranged. And by selecting appropriate reassign patterns, the imaging result with enhanced resolution can be achieved with the method of fluorescence emission difference. Two specific methods are proposed in this paper, showing that the difference between an image scanning microscopy image and a confocal image will achieve an improvement of transverse resolution by approximately 43% compared with that in confocal microscopy, and the axial resolution can also be enhanced by at least 22% experimentally and 35% theoretically. Moreover, the methods presented in this paper can improve the lateral resolution by around 10% than fluorescence emission difference and 15% than Airyscan. The mechanism of our methods is verified by numerical simulations and experimental results, and it has significant potential in biomedical applications.

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IFED = \sum_{i = 1}^{7} I i - q \cdot \sum_{i = 8}^{32} I i,

where q is the subtraction factor,

\sum_{i = 1}^{7} I_{i}

indicates the inner ring detectors that lie closest to the optical axis and

\sum_{i = 8}^{32} I i

is the outer ring detectors that are much further from the optical axis. Besides, in Eq.…”

Section: Theorymentioning

confidence: 99%

Section: Isfedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Image scanning fluorescence emission difference microscopy based on a detector array

Liu

et al. 2017

Journal of Microscopy

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“…20 Recently, there are many methods using doughnut-spot excitation and the parallel detection to further enhance the resolution. [21][22][23] However, in other words, there are some critical problem existing in our system. First of all, scanning speed restricts potential of PDSR to explore the higher dynamic process of live cell.…”

Section: Resultsmentioning

confidence: 99%

Super-resolution microscopy based on parallel detection

Zhang

Liu

et al. 2019

J. Innov. Opt. Health Sci.

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Image scanning microscopy based on pixel reassignment can improve the confocal resolution limit without losing the image signal-to-noise ratio (SNR) greatly [C. J. R. Sheppard, \Super-resolution in confocal imaging," Optik 80(2) 53-54 (1988). C. B. Müller, E. J€ org, \Image scanning microscopy, \Phys. Rev. Lett. 104(19) 198101 (2010). C. J. R. Sheppard, S. B. Mehta, R. Heintzmann, \Superresolution by image scanning microscopy using pixel reassignment," Opt. Lett. 38(15) 2889-2892 (2013)]. Here, we use a tailor-made optical¯ber and 19 avalanche photodiodes (APDs) as parallel detectors to upgrade our existing confocal microscopy, termed as parallel-detection super-resolution (PDSR) microscopy. In order to obtain the correct shift value, we use the normalized 2D cross correlation to calculate the shifting value of each image. We characterized our system performance by imaging°uorescence beads and applied this system to observing the 3D structure of biological specimen.

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“…[ 91 ] Bottom: subtraction of the image acquired by doughnut beam from the image by Gaussian beam via detector array imaging. [ 93 ] b) Virtual supercritical angle fluorescence microscopy (vSAF). Top: the optical system of vSAF; Bottom: the working principle of vSAF.…”

Section: Methods For Improving Srimentioning

confidence: 99%

Resolution Enhancement and Background Suppression in Optical Super‐Resolution Imaging for Biological Applications

Wang

et al. 2020

Laser & Photonics Reviews

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For decades, the spatial resolution of conventional far‐field optical imaging has been constrained due to the diffraction limit. The emergence of optical super‐resolution imaging has facilitated biological research in the nanoscale regime. However, the existing super‐resolution modalities are not feasible in many biological applications due to weaknesses, like complex implementation and high cost. Recently, various newly proposed techniques are advantageous in the enhancement of the system resolution, background suppression, and improvement of the hardware complexity so that the above‐mentioned issues could be addressed. Most of these techniques entail the modification of factors, like hardware, light path, fluorescent probe, and algorithm, based on conventional imaging systems. Particularly, subtraction technique is an easily implemented, cost‐effective, and flexible imaging tool which has been applied in widespread utilizations. In this review, the principles, characteristics, advances, and biological applications of these techniques are highlighted in optical super‐resolution modalities.

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Three-dimensional resolution and contrast-enhanced confocal microscopy with array detection

Cited by 21 publications

References 13 publications

Image scanning fluorescence emission difference microscopy based on a detector array

Image scanning fluorescence emission difference microscopy based on a detector array

Super-resolution microscopy based on parallel detection

Resolution Enhancement and Background Suppression in Optical Super‐Resolution Imaging for Biological Applications

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