• Journal of Biosystems Engineering
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• v.28 no.5
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• pp.449-456
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• 2003

A robot system was developed to pick desired colony. This robot system consisted of an image acquisition process which acquires the image information of colony, an illumination device which irradiates the object once when it gets the image of it, a picking head, a replicating head, a bed for fixing well-plates, and a sterilization device of sterilizing pin stained with colony. Picking pins were washed in an ultrasonic wave washing for takes ten seconds. Picking pins were dipped for sterilizing in alcohol for ten seconds. The time for resterilizing picking pins in a heater was five seconds. This performance test resulted 100% success rate for both the colony picking and the colony replication process. Considering the procedure in which 8 pins were smeared by colony, picked on a well plate, and sterilized as one cycle, the system could carry out one cycle in 110 seconds. It took about 138 minutes to pick around 600 colonies.

• Journal of Biosystems Engineering
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• v.28 no.5
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• pp.439-448
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• 2003

An image processing algorithm was developed for a robot system which was used in gene study. The robot system achieved a job of colony picking. The colony included DNA of an organism. The robot picked up the colony in petri-dish, which included the cultivated colony in medium, by a picking pin, and moved the colony to wellplates. The vision system consisted of an image acquisition system which acquired the image information of colony, an illumination device which irradiated the object once when it got the image of it, a computer and so on. The image processing algorithm distinguished the colony and detected colony positions. Performance test of the developed algorithm showed that the distinguishing success rate of colony and detecting success rate of colony positions were over 96%.

• Journal of Korean Foot and Ankle Society
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• v.18 no.3
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• pp.100-107
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• 2014

Purpose: The purpose of this study is to evaluate the efficacy of mesenchymal stem cell (MSC) isolation by the magnetic-activated cell sorting (MACS) method in tendon tissue-derived cells compared to the colony picking method for isolation of MSCs by picking colony-forming cells. Materials and Methods: Human tendon-derived cells were isolated by enzyme digestion using normal tendon tissues from three donors. We used the magnetic kit and well-known MSC markers (CD90 or CD105) to isolate MSCs in tendon-derived cells using MACS. Cloning cylinders were used to isolate colony-forming cells having MSC characteristics in tendon-derived cells. Colony-forming unit-fibroblast (CFU-F) assay was used to evaluate the self-renewal capacity of cells isolated using the colony picking method or MACS. For comparison of differentiation potentials into osteogenic or adipogenic lineage between two groups, alizarin red S and oil red O staining were performed at 14 days after induction of differentiation in vitro. Results: Flow cytometry results showed that early passage tendon-derived cells expressed CD44 in 99.13%, CD90 in 56.51%, and CD105 in 86.19%. In the CFU-F assay, CD90+ or CD105+ cells isolated with MACS showed larger colony formation in size than cells isolated using the colony picking method. We also observed that CD90+ or CD105+ cells were constantly differentiated into both osteogenic and adipogenic lineages in cells from all donors, whereas cells isolated using the colony picking method were heterogeneous in differentiation potentials to the osteogenic and adipogenic lineages. Conclusion: CD90+ or CD105+ cells isolated using MACS showed superior MSC characteristics in the self-renewal and multi-differentiation capacities compared with cells isolated using the colony picking method.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2003.07a
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• pp.427-433
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• 2003

숙주세포가 분열될 때, 재조합 DNA 분자의 복제물이 자손에게 전달되며 거기서 벡터 복제가 일어난다. 수많은 세포 분열이 일어난 후, 동일한 숙주세포의 콜로니(colony), 혹은 클론(clone)이 생성된다. 이때 숙주세포의 분열은 배양액을 담은 용기에서 이루어진다. 박테리아 속의 배양된 콜로니에 재조합 DNA가 포함되어 있지 않으면 푸른색을 띠고, 재조합 DNA가 포함되어 있으면 흰색을 띠게된다. 이 흰색의 콜로니만을 추출해 내는 것이 바로 콜로니 픽킹(picking)이라 한다. (중략)

• Journal of Microbiology and Biotechnology
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• v.27 no.8
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• pp.1441-1448
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• 2017

Antibacterial compounds are widely used in the treatment of human and animal diseases. The overuse of antibiotics has led to a rapid rise in the prevalence of drug-resistant bacteria, making the development of new antibacterial compounds essential. This study focused on developing a fast and easy method for identifying marine bacteria that produce antibiotic compounds. Eight randomly selected marine target bacterial species (Agrococcus terreus, Bacillus algicola, Mesoflavibacter zeaxanthinifaciens, Pseudoalteromonas flavipulchra, P. peptidolytica, P. piscicida, P. rubra, and Zunongwangia atlantica) were tested for production of antibacterial compounds against four strains of test bacteria (B. cereus, B. subtilis, Halomonas smyrnensis, and Vibrio alginolyticus). Colony picking was used as the primary screening method. Clear zones were observed around colonies of P. flavipulchra, P. peptidolytica, P. piscicida, and P. rubra tested against B. cereus, B. subtilis, and H. smyrnensis. The efficiency of colony scraping and broth culture methods for antimicrobial compound extraction was also compared using a disk diffusion assay. P. peptidolytica, P. piscicida, and P. rubra showed antagonistic activity against H. smyrnensis, B. cereus, and B. subtilis, respectively, only in the colony scraping method. Our results show that colony picking and colony scraping are effective, quick, and easy methods of screening for antibacterial compound-producing bacteria.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2003.02a
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• pp.215-220
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• 2003

인간 게놈 프로젝트가 지속적으로 진행됨에 따라 계속적으로 대량의 유전체 정보가 밝혀지고 있으며, 이미 밝혀진 유전체의 염기서열을 바탕으로 다양한 생물의 전체 유전자의 기능을 효율적으로 해석하는 기술의 개발이 요구되고 있다. 식물 게놈 프로젝트 또한 식량확보라는 단순하면서도 전략적인 차원에서 가장 절실히 요구되는 기본 과학기술 연구분야이다. 게놈(genome)은 유전자(gene)와 염색체(chromosome)의 합성어로 한 생물체가 지닌 모든 유전 정보의 집합체이고, 동종의 재결합 DNA 분자를 포함하는 동일 세포의 개체를 클론(clone)이라 하며, 클론의 집합체를 콜로니(Colony)라 한다 생물체의 모든 유전정보를 가진 게놈은 핵산(nucleotide acid)이라 불리는 염기로 이루어져 있으며, 이들은 서로 상보적인 쌍을 이루어 두 가닥으로 형성되어 있다. 이를 한 쌍의 base pair라 한다. (중략)

• Journal of Korean society of Dental Hygiene
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• v.7 no.2
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• pp.189-196
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• 2007

A study of the J health college dept of dental hygiene practice vistant a total of 35 supragingival calculus and subgingival calculus picking SEM observation and bacteria identification of the result are followings. 1. As observed by dental calculus SEM, the surface roughness appeared as peaks, valleys, and pits. 2. About bacteteria morphology blood agar plate small green zone partial hemolysis colony streptococcus observation 3. Isolated colony gram stain gram are positive display 4. Supragingival calculus at Lactococcus lactis spp. Leuconostoc spp. Streptococcus mitis, Aerococcus viridans bacteria 1, 3, 3, 16 species detection 5. Subgingival calculus at Aerococcus viridans, Leuconostoc spp. bacteria 5, 1 species detection.

• Mycobiology
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• v.47 no.3
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• pp.350-354
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• 2019

In the post-genomic era, gene function analysis has attracted much attention. Transformation is often needed to investigate gene function. In this study, an easy, rapid, reliable, and cost-effective colony polymerase chain reaction (PCR) method for screening mushroom transformants was developed: picking up a suitable amount of transformant's tissue ($1-10{\mu}g$) to $20{\mu}l$ 0.25% Lywallzyme solution, and vortexing for 10 s followed by incubation at $34^{\circ}C$ for 15 min. Finally, $2{\mu}l$ of the suspension was used as templates to perform PCR and single target bands were successfully amplified from respective transformants of Tremella fuciformis, Pleurotus ostreatus, and Pleurotus tuber-regium. This procedure could be widely employed for screening transformants in mushroom transformation experiments.

• The Journal of the Korean Society for Microbiology
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• v.11 no.1
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• pp.79-85
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• 1976

There are many of anaerobic culture methods and equipments for isolation and cultivation of anaerabic bacteria, but most of these methods are used without pre-reduced media. Gas-jet method is a recommend. able method for the culture of anaerobes, resently developed. Bacteriological studies were experimented of liver abscess of cattle by the use of gas. jet method. The results were summarised as follows; 1. Gas-jet method for anaerobic culture are expedient for the making of pre-reduced media, maintaining of oxygen free condition in the culture tube, picking of bacteria from colony and colony counting etc. 2. A 121 strains of facultative anaerobic and anaerobic bacteria were isolated from liver abscess of 27 head of cattle, and the isolated anaerobic bacteria were as follows. Peptostreptococcus spp. 7 strains Acid aminococcus fermentans 1 Veillonella spp. 1 Bacterioides spp. 6 Bifidobacterium spp. 4 Arachinia propionica 2 Lactobacillus spp. 4 Propionibacterium acnes 1 3. Liver abscess were infected with many of bacteria, about $10^3-10^9$ numbers per gram of abcessed tissue. Almost of abscess were mixed infection of various bacterial species rather than simple species.

• Management Science and Financial Engineering
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• v.15 no.1
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• pp.81-96
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• 2009

Data mining, specially clustering is one of exciting research areas for ant based algorithms. Ant clustering algorithm, however, has many difficulties for resolving practical situations in clustering. We propose a new grid-based ant colony algorithm for clustering of data. The previous ant based clustering algorithms usually tried to find the clusters during picking up or dropping down process of the items of ants using some stigmergy information. In our ant clustering algorithm we try to make the ants reflect neighborhood information within the storage nests. We use two ant classes, search ants and labor ants. In the initial step of the proposed algorithm, the search ants try to guide the characteristics of the storage nests. Then the labor ants try to classify the items using the guide in-formation that has set by the search ants and the stigmergy information that has set by other labor ants. In this procedure the clustering decision of ants is quickly guided and keeping out of from the stagnated process. We experimented and compared our algorithm with other known algorithms for the known and statistically-made data. From these experiments we prove that the suggested ant mining algorithm found the clusters quickly and effectively comparing with a known ant clustering algorithm.