Auto-focusing approach on multiple micro objects using the prewitt operator

Lofroth, Matthew; Avci, Ebubekir

doi:10.1007/s41315-018-0070-x

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…Recently, some template-based depth acquisition methods have been developed, where a focal image of the biological targets or surgery tools is sampled and set as a template for comparison with sampled images at different optical depths. The focal imaging depth can be estimated when the pixel differences between the sampled images are minimized 135 , 136 . However, external disturbances, noises, and imaging errors can produce inaccurate depth when the imaging field moves greatly.…”

Section: Control Methodsmentioning

confidence: 99%

Advanced tools and methods for single-cell surgery

et al. 2022

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Highly precise micromanipulation tools that can manipulate and interrogate cell organelles and components must be developed to support the rapid development of new cell-based medical therapies, thereby facilitating in-depth understanding of cell dynamics, cell component functions, and disease mechanisms. This paper presents a literature review on micro/nanomanipulation tools and their control methods for single-cell surgery. Micromanipulation methods specifically based on laser, microneedle, and untethered micro/nanotools are presented in detail. The limitations of these techniques are also discussed. The biological significance and clinical applications of single-cell surgery are also addressed in this paper.

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Section: Control Methodsmentioning

confidence: 99%

Advanced tools and methods for single-cell surgery

et al. 2022

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“…When the tip was focused, the entropy value in this region reached its maximum clarity. A Prewitt operator was proposed to highlight cell edges of sampled images [154]. The processed pixel points exhibit higher intensity for sharper edges.…”

Section: Autofocusingmentioning

confidence: 99%

Advanced Biological Imaging for Intracellular Micromanipulation: Methods and Applications

et al. 2020

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Intracellular micromanipulation assisted by robotic systems has valuable applications in biomedical research, such as genetic diagnosis and genome-editing tasks. However, current studies suffer from a low success rate and a large operation damage because of insufficient information on the operation information of targeted specimens. The complexity of the intracellular environment causes difficulties in visualizing manipulation tools and specimens. This review summarizes and analyzes the current development of advanced biological imaging sampling and computational processing methods in intracellular micromanipulation applications. It also discusses the related limitations and future extension, providing an important reference about this field.

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“…With its lower computational complexity or less processing time, Prewitt kernel is suitable for real‐time processing such as real‐time video processing [29]. Many other image processing applications also involve the use of Prewitt kernel for edge detection such as in autofocusing approach [30] and image fusion [31]. Thus, it is essential to explore the performance of Prewitt kernel for QA of SCIs and NIs.…”

Section: Introductionmentioning

confidence: 99%

A generalized quality assessment method for natural and screen content images

Loh

Bong

2020

IET Image Processing

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A generalized objective quality assessment method is proposed for natural images and screen content images. Since natural images and screen content images have different statistical properties, the modelling of a generalized quality assessment method that works for both types of images is complicated because some properties of natural images and screen content images are conflicting to one another. The proposed method assesses the perceptual quality of an image based on edge magnitude and direction. In this method, an image is first separated into regions with high and low gradients. Gradient is used due to the small perceptual span of the human visual system for textual content. For high gradient regions, small kernel size of Prewitt operators is used to obtain the gradient magnitude and direction. Correspondingly, bigger kernel size of Prewitt operators is utilized for low gradient regions. Visual quality indices are computed from both regions and pooled to obtain the final quality index. From the performance comparison, it is shown that the proposed method could assess the perceived quality of natural images and screen content images with high accuracy.

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Auto-focusing approach on multiple micro objects using the prewitt operator

Cited by 8 publications

References 21 publications

Advanced tools and methods for single-cell surgery

Advanced tools and methods for single-cell surgery

Advanced Biological Imaging for Intracellular Micromanipulation: Methods and Applications

A generalized quality assessment method for natural and screen content images

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