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After crystal violet cell staining, biofilm was visualized using direct microscopic observation; sample scanning-image analysis implemented in MATLAB and ethanol extraction-Absorbance 590 nm measurement.
In the framework, we did modify in the objects and conditions of primal problem to reproduce an appropriate learning rule for an observation sample.
Results indicate that traditional observation sample preparation methods are such susceptible to external force, temperature, and some other manual factors that obtaining samples with good reproducibility and stability is difficult.
The observation sample rate is 30 s.
Various Bayesian-based techniques utilise different assumptions about the observation sample space, the statistical regression, and the underlying stochastic process.
In addition, we have dropped the observation sample index O in the above as a result of Assumption 1.
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To explain this observation, samples with increasing levels of bioencapsulation (free-compound, homogenized-puree, puree) were examined.
Diverse methods to prepare observation samples have been used by many scholars but a standard method has not been established.
Finally, appropriate size and storage temperature for HBMM were given to obtain observation samples with low variability.
The observation samples are located in x={−1,0,1,10}.
Let us still consider that there are N observation samples.
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