• The Journal of Bigdata
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• v.4 no.1
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• pp.53-61
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• 2019

The extracellular matrix, which provides the structural and biochemical support of surrounding cells, is a cell physiological modulator that controls cell division and differentiation. In the bio sector, the company produces Scapold, a three-dimensional support for tissue engineering, and cultivates stem cells in the produced Scapold to be transplanted into animals to assess tissue regeneration. This depends on components such as collagen in the tissue. Therefore, it is very important to identify the inclusion rate and distribution of components in the tissue, and the data are obtained by analyzing the color of the dyed tissue image. The process from image collection to analysis is costly, and the data collected and analyzed are managed in different formats by different research institutions. Therefore, data integration management and analysis results search are not being performed. In this paper, we establish a database that can manage relevant bigdata in an integrated manner, and propose a bio-image integrated management and retrieval system that can be searched based on color, an important analytical measure in this field of study.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.2
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• pp.431-436
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• 2014

Cell segmentation which extracts cell objects from background is one of basic works in bio-imaging which analyze cell images acquired from live cells in cell culture. In the case of clear images, they have a bi-modal histogram distribution and segmentation of them can easily be performed by global threshold algorithm such as Otsu algorithm. But In the case of degraded images, it is difficult to get exact segmentation results. In this paper, we developed a cell segmentation system that it classify input images by the type of their histogram distribution and then apply a proper segmentation algorithm. If it has a bi-modal distribution, a global threshold algorithm is applied for segmentation. Otherwise it has a uni-modal distribution, our algorithm is performed. By experimentation, our system gave exact segmentation results for uni-modal cell images as well as bi-modal cell images.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.12
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• pp.2697-2704
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• 2011

In tissue engineering area, researchers observe symbiotic relationship such as proliferation, interaction, division apoptosis with time between cells in process of the 3D cell culture in hydrogels. The 3D cell culture process can be taken photographs into sliced images using confocal microscope. Symbiotic mechanism and changes of cell behaviors can be observed and analyzed from the images acquired by confocal microscope. In this paper, we proposed and developed graded noise elimination method and cluster boundary extraction method to extract boundaries information from sliced confocal images acquired in process of the 3D cell culture in hydrogels. The experiment based algorithm showed excellent performance for eliminating noises that have very small millet-shaped size. It is also showed to extract exact boundaries information for even complex clusters.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.916-919
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• 2012

Bioimaging that can be imaging phenomena within cells of a molecular size have been advanced in technology. We can observe clearly DNA and proteins using a confocal microscope. Currently biological fluorescent imaging area is used essentially for diagnosis and treatment in health and clinical care field. In this paper, we developed an integration management system of analyzing fluorescence images on smart phone. It can support a user to analyse fluorescence images anytime anywhere. And our system is based on client-server configuration and has functions that can figure intensity of fluorescence images and manage many imaging data. Proposed system can be a mean of ubiquitous health because it helps a doctor diagnose by analyzing fluorescence images of emergency patients without time and space restrictions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2493-2499
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• 2011

With growth of nano-bio industry, it is of significant importance to develop an automated system to exploit cell behaviors, including migration, mitosis, apoptosis, shape deformation of individual cells and their interactions among cells in the process of cell growth. In this paper, we proposed preprocessing techniques, a classification method which classifies clusters (overlapping multiple cells) from cells and an automated method which counts the number of cells and clusters in order to analyze 2D or 3D deformations of the cells in the real-time images from microscope in the cell culture. We conducted the 3T3 cell images taken from each thirty-minute interval. It showed the average 99.8% accuracy automatically for separating cells and clusters.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.909-912
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• 2012

An automated cell tracking system is automatically to analyze and track changes of cell behaviors in time-lapse cell images acquired from microscope in the cell culture. In this paper, we proposed and developed an ellipse fitting based algorithm for separating very small size overlapping cells in a cell image consisted of thousands or ten thousands cells. We were extracted contours of clusters and divided them into line segments and then produced their fitted ellipses for each line segment. By experimentations, our algorithm was separated clusters with average 91% precision for two overlapping cells and average 84% precision for three overlapping cells respectively.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.37 no.3
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• pp.259-266
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• 2013

An automated cell tracking system is used to automatically analyze and track the changes in cell behavior in time-lapse cell images acquired using a microscope with a cell culture. Clustering is the partial overlapping of neighboring cells in the process of cell change. Separating clusters into individual cells is very important for cell tracking. In this study, we proposed an algorithm for separating clusters by using ellipse fitting based on a direct least square method. We extracted the contours of clusters, divided them into line segments, and then produced their fitted ellipses using a direct least square method for each line segment. All of the fitted ellipses could be used to separate their corresponding clusters. In experiments, our algorithm separated clusters with average precisions of 91% for two overlapping cells, 84% for three overlapping cells, and about 73% for four overlapping cells.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.47 no.4
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• pp.297-304
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• 2021

In this study, we prepared a pigmented skin model, KeraSkin-M^TM for the in vitro evaluation of whitening agents. For the purpose of complementing the existing mono-layer cell culture testing method, KeraSkin-M^TM was produced through the co-culture of human skin-derived keratinocytes and melanocytes. The efficacy of four well-known whitening agents (arbutin, ascorbic acid, kojic acid, niacinamide) was evaluated in KeraSkin-M^TM in order to assess its usefulness in assessing whitening efficacy. As a result, it was possible to observe additional details such as the distribution of melanin granules and melanin capping in each skin layer through KeraSkin-M^TM, which was previously difficult to assess in the traditional 2D cell culture system. In addition, quantification through image analysis of KeraSkin-M^TM allowed for a statistical analysis of the whitening effects. These results suggest that the KeraSkin-M^TM can be used as a new evaluation method of evaluating whitening efficacy, as well as complement the traditional total melanin content and tyrosinase inhibition assays.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.599-599
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• 2013

최근의 원자간력현미경(AFM)은 생체물질을 대상으로 여러 구조적 형상뿐만 아니라 물리적 특성 측정이 가능하여 바이오분야에 다양이 활용되고 있다. 줄기세포의 신경세포로 분화 인지에 대한 연구와 관련하여 본 연구에서는 AFM의 한 기능인 Force-Distance curve 측정법을 활용하여 신경암세포주라 불리는 SH-SY5Y를 대상으로 분화 전과 후의 세포막의 stiffness 변화를 측정하였다. 세포막의 stiffness값은 시료표면과 맞닿은 AFM 탐침에 계속적으로 수직방향의 힘이 가해질 시 AFM 캔티레버의 구부러짐 정도로 측정된다. SH-SY5Y는 RA (retinoic acid) 처리에 의해 분화유도 되었으며, 생물학적 방법인 western blotting법을 통해 분화여부를 확인하였다. 측정영역은 AFM topography 이미지 상에서 roughness가 가장 낮은 분화 전과 후 SH-SY5Y의 핵 주변영역으로 선정하였다. 선정된 영역 내에 여러 부분의 분화 전후 세포막의 stiffness 값을 측정하여 통계화한 결과, 분화 전과 후 세포막의 stiffness 차이를 확인할 수 있었다. 분화 전 SH-SY5Y 세포막의 stiffness는 0.79445 N/m인 반면, 분화 후 SH-SY5Y 세포막의stiffness는 0.60324 N/m로 확인되었다. 이는 분화 전에 비하여 분화 후 SH-SY5Y 세포막의 stiffness가 약 24.07% 감소된 것으로 판단할 수 있다. 본 연구는 생물학적 복잡한 방법이 아닌 간단한 방법으로 세포의 stiffness의 변화 측정을 통한 세포의 분화를 판별할 수 있는 방법을 개발한 것으로 여러 줄기세포의 특정세포로 분화여부 판단에 활용할 수 있을 것으로 사료된다.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.345-345
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• 2011

최근 대기압 플라즈마 젯을 이용한 바이오/메디컬의 활발한 응용연구가 진행 중이다. 박테리아 및 세균의 살균은 물론 암세포 세포예정사에 핵심적인 역할을 하는 활성산소종(Reactive Oxygen Species, ROS) 또는 다양한 라디칼들은 대기압 플라즈마의 다양한 변수를 이용하여 조절할 수 있다고 알려져 있다. 수십 kHz의 고전압에서 발생된 마이크로 헬륨 플라즈마 젯에서 질소종의 제어를 통해 같은 부피의 플라즈마 젯에서의 방출광을 살펴보았다. 또한 광섬유센서를 이용하여 플라즈마의 기체온도를 측정하고 Boltzmann plot method를 통해 전자의 여기온도 변화를 관찰하였다. 실험의 결과, 같은 부피의 플라즈마에서 질소종이 증가할 때 기체온도는 큰 변함이 없지만 여기온도가 증가하는 것을 관찰하였다. 시간분해 이미지 촬영으로 질소종의 양에 따른 플라즈마 불릿의 속도 변화를 분석을 하였고, 최종적으로 대기압 플라즈마 젯의 질소종 변화에 따른 대장균의 비활성화 정도를 관찰하였다.