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Modern science combines computerized tools with laboratory research and in vivo models to obtain advanced biomedical products for the improvement of human health. This multidisciplinary endeavor requires knowledge in several fields. In the present study, a model is proposed to monitor the in vitro tissue growth, starting from 2D development of adherent cell cultures. Firstly, cell culture development in the in vitro environment is described, based on biological and biochemical cues. The in vitro formation of an extracellular matrix is a chemical guided phenomenon. The main parameters influencing the cell culture faith are the initial cell number, and the micro-environment characteristics. The main monitoring steps involve the imaging of the cells on the substrates, the measurement of cells main dimensions, their length and width, and the application of the biostatistical model. The incidence of specific dimensions indicates the cell category with respect to cell type, age or well-being. The proposed model is further developed for the use in evaluation of cellular growth, for application in in vitro tissue engineering. This combination of computational, statistical and laboratory investigations are extremely important to reduce the trial-and-error methods and select the most appropriate conditions for the synthesis of innovative bioactive materials.

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A Biostatistical and Analytical Model for the in vitro Monitoring of Tissue Growth Correlated to Biochemical Signals

  • 会议论文

  • 发表日期：

    2025年

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  • Diana V. Portan,
  • Sorina Moica,
  • Athanasia Koliadima,
  • John Kapolos,
  • George C. Papanicolaou,
  • Adrian Gligor

摘要

Modern science combines computerized tools with laboratory research and in vivo models to obtain advanced biomedical products for the improvement of human health. This multidisciplinary endeavor requires knowledge in several fields. In the present study, a model is proposed to monitor the in vitro tissue growth, starting from 2D development of adherent cell cultures. Firstly, cell culture development in the in vitro environment is described, based on biological and biochemical cues. The in vitro formation of an extracellular matrix is a chemical guided phenomenon. The main parameters influencing the cell culture faith are the initial cell number, and the micro-environment characteristics. The main monitoring steps involve the imaging of the cells on the substrates, the measurement of cells main dimensions, their length and width, and the application of the biostatistical model. The incidence of specific dimensions indicates the cell category with respect to cell type, age or well-being. The proposed model is further developed for the use in evaluation of cellular growth, for application in in vitro tissue engineering. This combination of computational, statistical and laboratory investigations are extremely important to reduce the trial-and-error methods and select the most appropriate conditions for the synthesis of innovative bioactive materials.