• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.445-447
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• 2001

본 논문에서는 세포 영상에 대해 Wavelet 계수을 이용한 인식 방법을 제안하고 있다. 자궁 경부세포진은 핵과 세포질을 분할하기 힘들기 때문에 영역분할을 통해 얻은 핵특징이 잘못 계산될 수 있어 인식율이 떨어진다. 따라서 핵의 세포만을 나타낼 수 있도록 핵의 정보를 포함하고 있는 고대역 부밴드에서는 20$\times$20 영상을 사용하였고, 세포질에 정보를 포함하고 있는 저대역 부밴드에서는 50$\times$50의 영상을 사용하였다. 영상 인식을 위한 특징 추출은 2단계 Wavelet 변환후 생성된 변환 영역에 대해서 Wavelet 계수 평균값 표준편차와 Energy를 사용하였다. 실험 결과 Wavelet 계수를 이용한 방법이 영역분할을 이용한 방법과 비교하여 더 높은 인식율 보였다.

• 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.

• Korean Chemical Engineering Research
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• v.61 no.2
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• pp.247-257
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• 2023

Precise counting of cell number stands in important position within clinical and research laboratories. Conventional methods such as hemocytometer, migration/invasion assay, or automated cell counters have limited in analytical time, cost, and accuracy., which needs an alternative way with time-efficient in-situ approach to broaden the application avenue. Here, we present simple coding-based cell counting method using image analysis tool, freely available image software (ImageJ). Firstly, we encapsulated RFP-expressing bacteria in a droplet using microfluidic device and automatically performed fluorescence image-based analysis for the quantification of cell numbers. Also, time-lapse images were captured for tracking the change of cell numbers in a droplet containing different concentrations of antibiotics. This study confirms that our approach is approximately 15 times faster and provides more accurate number of cells in a droplet than the external analysis program method. We envision that it can be used to the development of high-throughput image-based cell counting analysis.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.267-272
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• 2016

Microscope cell image is an important indicator for obtaining the biological information in a bio-informatics fields. Since human observers have been examining the cell image with microscope, a lot of time and high concentration are required to analyze cell images. Furthermore, It is difficult for the human eye to quantify objectively features in cell images. In this study, we developed HCS algorithm for automatic analysis of cell image using an OpenCV library. HCS algorithm contains the cell image preprocessing, cell counting, cell cycle and mitotic index analysis algorithm. We used human cancer cell (MKN-28) obtained by the confocal laser microscope for image analysis. We compare the value of cell counting to imageJ and to a professional observer to evaluate our algorithm performance. The experimental results showed that the average accuracy of our algorithm is 99.7%.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.292-294
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• 2023

본 논문에서는 국내 사망 원인 1위 질환인 암 중 가장 큰 비중을 차지하는 폐암의 암 오진율 감소 및 정밀 진단을 위해 폐암세포를 검출 및 계수 할 수 있는 시스템을 구현하였다. 사용자가 관심 영역을 지정하면 H&E 염색 방식을 사용한 폐암세포 전처리 과정을 거쳐 검출 및 계수 할 수 있다. 본 시스템을 통해 병리학자가 단 시간에 폐암세포 검출 및 계수하여 객관적 진단 도구로 활용할 수 있으며, 디지털 기술과 융합하여 정밀 의료에 크게 기여할 수 있을 것으로 기대된다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.201-202
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• 2011

본 연구에는 7.0T 동물용 자기공명영상장치를 이용하여 인간의 췌장암 세포인 CFPAC-1를 이종 이식한 쥐에서 자기공명영상을 획득하여 최적화된 검사 Protocol을 정립하며, 동물 실험에서 밝혀진 종양특성과 확산강조영상과의 비교 분석을 해보고 현성확산계수 영상이 췌장암 이종이식 모형의 종양 세포 내부 구조에 관하여 어떠한 정보를 제공 할 수 있는지 알아보고자 한다. 13마리의 쥐의 26개의 종양을 전형적으로 주입 후에 2~4주 뒤에 직경이 5~10mm가 되었을 때 imaged 하였으며, pathologic specimenm을 위해 sacrificed 하였다. isofluoran gas anesthesia를 이용하여 동물 마취 하였다. 사용된 장비로는 small-animal MR images (7.0-T)를 (Bruker BioSpin GmbH, Rheinstetten, Germany)이용하여 Fast T2-weighted 와 single-shot EPI DW image를 얻었다. 종양은 H&E 염색과 CD31와 VEGF에 대한 면역조직학 염색을 하여 종양의 cellularity와 microvessel density(MVD), 종양 내 괴사 정도를 평가하였다. CFPAC-1의 현성확산계수값은 $0.7327{\pm}0.1075{\pm}10^{-3}mm2/s$이였으며, 현성확산계수는 종양내 괴사 정도와 연관성을 보였다(R = 0.7417, p = 0.0001) 이처럼 현성확산계수는 종양 내 괴사 정도 등의 현미경적구조변화를 반영하는 대리인자로 사용될 수 있음을 확인하였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.29 no.12 s.243
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• pp.1615-1620
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• 2005

We present a novel flow-rate independent cell counter using a fixed control volume between double electrical sensing zones. The previous device based on the single electrical cell sensing in a given flow-rate requires an accurate fluid volume measurement or precision flow rate control. The present cell counter, however, offers the flow-rate independent method for the cell concentration measurement with counting cells in a fixed control volume of $22.9{\pm}0.98{\mu}{\ell}$. In the experimental study, using the RBC (Red Blood Cell), we have compared the measured RBC concentrations from the fabricated devices with those from Hemacytometer. The previous and present devices show the maximum errors of $20.3\%\;and\;16.1\%$, which are in the measurement error range of Hemacytometer (about $20\%$). The present device also shows the flow-rate independent performance at the constant flow-rates ($5{\mu}{\ell}/min$ and $10{\mu}{\ell}/min$) and the varying flow-rate (4, 2, and $4{\mu}{\ell}/min$). Therefore, we demonstrate that the present cell counter is a simple and automated method for the cell concentration measurement without requiring an accurate fluid measurement and precision flow-rate control.

• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.226-233
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• 2004

The purpose of this study was to test whether the degrees of desyncronization in cranial nerves were related to correlation coefficient between brain waves measured on scalp. Based on the hypothesis. this research intended to describe the patterns of brain wave during scientific reasoning. EEG (electroencephalography) signals in 19 electrodes were recorded from elementary (6th grade) and middle (7th, 8th grade) school students as they performed roller-ball tasks: planning experiment, cognitive conflict, bridging, metacognition, and at rest (eyes closed and eyes opened). The results showed that the smaller the correlation coefficient was, the bigger the degrees of desyncronization. As compared to resting periods, the correlation coefficients in prefrontal and frontal lobe decreased during scientific reasoning. And the nerves in prefrontal and frontal lobes were most active during scientific reasoning. These results suggest that the correlation coefficient in addition to frequency of brain waves be analysed to get meaningful results of researches on scientific reasoning by brain wave.

• Journal of radiological science and technology
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• v.34 no.3
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• pp.239-244
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• 2011

In this study, we evaluated diffusion weighted imaging (DWI) to investigate whether the DWI parameters can predict characteristic parameters on pathologic specimens of tumor or not. CFPAC-1 was injected subcutaneously on the back flank of athymic nude mice (n=13) then two tumors were initiated on each mouse (2${\times}$13=26 tumors). The mice were sacrificed to make specimen immediately after initial MR imaging then were compared with the MR image. A dedicated high-field (7T) small-animal MR scanner was used for image acquisitions. A T1 and T2 weighted axial image using RARE technique was acquired to measure the T2 values and tumor size. DWI MR was performed for calculating ADC values. To evaluate tumor cellularity and determine the levels of MVD, tumor cells were excised and processed for H-E staining and immunostaining using CD31. T2 values and ADC values were computed and analyzed for each half of the tumors and compared to the correlated specimens slide. Median ADC within each half of mass was compared to the cellularity and MVD in the correlated area of pathologic slide. The mean of ADC value is $0.7327{\times}10^{-3}$ $mm^2/s$ and standard deviation is $0.1075{\times}10^{-3}$ $mm^2/s$. There is a linear relationship between ADC value and tumor necrosis (R2=0.697, p< 0.001). DW image parameters including the ADC values can be utilized as surrogate markers to assess intratumoral neoangiogenesis and change of the internal structure of tumor cells.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.482-482
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• 2012

대기압 플라즈마 소스는 미생물을 살균하는 효과를 가지고 있으나 그 메커니즘에 대해서는 여전히 많은 연구가 필요한 실정이다. 우리는 본 연구에서 메커니즘 규명을 위한 시작단계로 플라즈마에 대한 미생물의 반응을 생물학적 및 물리적 분석을 통해 보고자 하였다. 연구에 사용한 미생물은 yeast인 Saccharomyces cerevisiae 이며 Ar Gas 플라즈마를 사용하였다. Yeast에 일정한 시간 동안 플라즈마를 조사한 후 세포의 생존, 모양 변화 관찰 및 DNA에 대한 영향이 분석되었고 r-FIB 장비를 이용하여 세포표면의 이차전자 방출계수를 측정하였다. 플라즈마 조사 시간에 따라 Yeast active cell의 수가 감소하며, water에 넣고 조사할때에는 YPD media에 넣고 조사한 것에 비해 급격히 감소함을 볼 수 있다. 셀의 모양 관찰 결과도 water에 넣고 조사할 때, YPD media보다 더 찌그러듬을 볼 수 있다. 플라즈마 조사량에 따라서 Water의 PH 값은 YPD에 비해 급격히 낮아짐을 보인다. pH의 값을 달리하고 SNP와 H2O2가 첨가된 water에 Yeast를 배양시킬 때, pH의 값이 낮아질수록 yeast의 생존도 감소함을 볼 수 있다. 그리고 DNA gel electrophoresis를 통해 플라즈마 처리를 하게되면 Yeast의 DNA 양이 감소하는 것을 관찰할 수 있다. 또한 플라즈마 처리를 3분 하였을 때의 Yeast 세포막으로부터 방출되는 이차전자방출계수는 다른 처리시간에 대한 값에 비하여 확연히 증가하는 것을 볼 수 있다. 이들 사실로부터 플라즈마의 효과로 인해 외부의 전자를 흡수 및 차단할 수 있는 기능을 갖고 있는 Yeast 세포막의 구조가 변형되어 손상되었음을 의미한다.