2019
DOI: 10.1109/tbme.2018.2885772
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Achieving Automated Organelle Biopsy on Small Single Cells Using a Cell Surgery Robotic System

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Cited by 47 publications
(38 citation statements)
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“…These experiments illustrate the kind of tasks where the presented platform could be implemented. Possible biological applications that can benefit from the proposed platform include cell sorting, isolation, rotation, stimulation, 3D tomographic imaging, and can contribute to more complex tasks such as single-cell surgeries (e.g., nuclear transplantation, embryo micro-injections and polar-body biopsy [39,40]) or micro-assembling [41].…”
Section: Discussionmentioning
confidence: 99%
“…These experiments illustrate the kind of tasks where the presented platform could be implemented. Possible biological applications that can benefit from the proposed platform include cell sorting, isolation, rotation, stimulation, 3D tomographic imaging, and can contribute to more complex tasks such as single-cell surgeries (e.g., nuclear transplantation, embryo micro-injections and polar-body biopsy [39,40]) or micro-assembling [41].…”
Section: Discussionmentioning
confidence: 99%
“…Conventional methods to isolate individual organelles, such as micropipette aspiration and optical trapping of adherent cells, are low throughput (≈10 1 -10 2 organelles per hour), require a skilled experimentalist, and therefore do not scale well for the application to many organelles across many cells. [61,62] Several promising micro-and nano-devices have been developed in recent years to address these issues. For example, neurons can be cultured within microfluidic culture chambers that allow fluidic access specific to individual axons [33,34] (Figure 2a).…”
Section: Micro-and Nano-devices For Subcellular Isolation and Organelmentioning
confidence: 99%
“…Figure 5b illustrates the intracellular localization of JC-1 stained mitochondria. The mitochondrion contour was extracted by setting a threshold defined as Hue, Saturation and Value (HSV) range value [126]. Although Gauss [124], and Median filters [126] or morphological operations [123] was adopted to smoothen the sampled images in the aforementioned methods, most out-of-focus blurs and imaging noises were difficult to eliminate.…”
Section: Segmentationmentioning
confidence: 99%
“…The mitochondrion contour was extracted by setting a threshold defined as Hue, Saturation and Value (HSV) range value [126]. Although Gauss [124], and Median filters [126] or morphological operations [123] was adopted to smoothen the sampled images in the aforementioned methods, most out-of-focus blurs and imaging noises were difficult to eliminate. Direct segmentation with a threshold value or edge detectors on original sampled images is only suitable for the manipulations of large-sized objects, because it may erase useful information near real object boundaries and produce inaccurate contours and localization of targeted specimens.…”
Section: Segmentationmentioning
confidence: 99%