The effect of several cell-level parameters on the predicted optimal cooling rate of an arbitrary biological system has been studied using a well-defined water transport model. An extensive investigation of the water transport model revealed three key cell level parameters: reference permeability of the membrane to water , apparent activation energy , and the ratio of the available surface area for water transport to the initial volume of intracellular water . We defined as the “highest” cooling rate at which a predefined percent of the initial water volume is trapped inside the cell (values ranging from 5% to 80%) at a predefined end temperature (values ranging from to ). Irrespective of the choice of the percent of initial water volume trapped and the end temperature, an exact and linear relationship exists between , and . However, a nonlinear and inverse relationship is found between and . Remarkably, for a variety of biological systems a comparison of the published experimentally determined values of agreed quite closely with numerically predicted values when the model assumed 5% of initial water is trapped inside the cell at a temperature of . This close agreement between the experimental and model predicted optimal cooling rates is used to develop a generic optimal cooling rate chart and a generic optimal cooling rate equation that greatly simplifies the prediction of the optimal rate of freezing of biological systems.