Fast automated yeast cell counting algorithm using bright-field and fluorescence microscopic images

Biological Procedures Online

Dongpyo Hong¹  Gwanghee Lee¹  Neon Cheol Jung¹  Moongu Jeon² 

[1] Logos Biosystems Inc, Pyungchon-dong, Kyunggi 431-755, Korea

[2] Applied Computing Lab., GIST, Oryong-dong, Gwangju 500-712, Korea

关键词: Dual fluorescence;    Yeast counting;    Quantitative measurement;    Fast automated counting;   

Others  :  792988
DOI  :  10.1186/1480-9222-15-13

 received in 2013-10-04, accepted in 2013-11-08,  发布年份 2013

【 摘 要 】

Background

The faithful determination of the concentration and viability of yeast cells is important for biological research as well as industry. To this end, it is important to develop an automated cell counting algorithm that can provide not only fast but also accurate and precise measurement of yeast cells.

Results

With the proposed method, we measured the precision of yeast cell measurements by using 0%, 25%, 50%, 75% and 100% viability samples. As a result, the actual viability measured with the proposed yeast cell counting algorithm is significantly correlated to the theoretical viability (R² = 0.9991). Furthermore, we evaluated the performance of our algorithm in various computing platforms. The results showed that the proposed algorithm could be feasible to use with low-end computing platforms without loss of its performance.

Conclusions

Our yeast cell counting algorithm can rapidly provide the total number and the viability of yeast cells with exceptional accuracy and precision. Therefore, we believe that our method can become beneficial for a wide variety of academic field and industries such as biotechnology, pharmaceutical and alcohol production.

【 授权许可】

   
2013 Hong et al.; licensee BioMed Central Ltd.

【 图 表 】

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