Abstract
In order to automate measurements of cell concentration and viability in a suspended animal cell culture, we have developed an in situ microscopic image analysis system with an effective cell recognition algorithm. With a small amount of sample, this system can measure the cell density rapidly and aseptically. In addition, it can measure a cell size histogram including cell debris small particle distribution. These small particles have been found to be related to the viability of the mouse-mouse hybridoma STK1 cell line. By using cell debris small particle density as an indicator of cell viability, the developed system provides non-destructive viability monitoring without trypan blue staining.
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© 1994 Springer Science+Business Media Dordrecht
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Maruhashi, F., Murakami, S., Baba, K. (1994). Automated monitoring of cell concentration and viability using an image analysis system. In: Buckland, B.C., Aunins, J.G., Bibila, T.A., Hu, WS., Robinson, D.K., Zhou, W. (eds) Cell Culture Engineering IV. Current Applications of Cell Culture Engineering, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0257-5_31
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DOI: https://doi.org/10.1007/978-94-011-0257-5_31
Publisher Name: Springer, Dordrecht
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