For the Photopette device a large linear range of up to 1.4 AU at OD600 with an excellent R square of 0.995 was observed (Figure 3). However, Photopette can measure Absorbance of up to 3 OD. As seen in Figure 3, the calibration curve starts to plateau for absorbance values above 1.4.
This is always observed for samples containing particles (yeast cells), as the OD600 measurement is basically a turbidimetric measurement. By using a polynomial regression, cell counts of up to 80 x 10^6 cells are possible at a high R square of 0.99. We found a yeast cell number of 1.5 x 10^7 cells per 1 OD600 unit, this is within the data found in the literature.
We also determined the yeast biomass as “dry mass” as a function of the OD600. From Figure 5 it can be seen that a dry mass of 1 mg/mL roughly correlates to an OD of 1.5. From Figure 4 this results in 22 x10^6 cells. From this the dry mass of a single yeast cell is calculated as 4.6 x 10^-8 mg.
Creating a method with Method Maker: If desired the data can be used to create a method using the “Method Maker” function. Klick on “Method Maker” in the menu at the button of the app. Klick on “Dataset” and load the dataset that contains the calibration data from the OD600 measurement. Klick on “Unit” and chose “User-defined”, type “cell/mL”. Klick on “Calibration Type” and chose “Linear Fit”. Klick “Next”. Fill in the corresponding cell numbers. Klick “Next”. You will now see the calibration curve on the screen including its equation and R Square value. Klick on “Method Name” and name the method “Yeast Cell Count”. If you wish, add instructions about the method and its creator and references if any. Klick “next”, this creates the new method.
Linear range
The calibration curve of Figure 3 shows a linear range up to OD 1.4 with a high R Square; this corresponds to 20 x 10^6 cells per mL.
Recalibration
Recalibration is recommended if the environment is changing (e.g. different temperature). Highest accuracy is achieved if the calibration is performed directly before the measurement.
Errors
The highest error is not in the photometric measurement, it’s in the cell counting. It shall be noted that hemocytometer counting suffer from personal errors as different people may count or not count a particle as a yeast cell. We counted budding yeast and cells not separated as one yeast cell. The absorbance error is about 0.003 AU or better