Analysis method for classification assistance having the following steps: - ascertaining measured values (P i) for optical features (i) of a test dispersion to be classified, wherein the test dispersion is formed from a dispersion medium, in particular blood plasma, and a dispersed phase and the dispersed phase has cells or cell components of organic materials, - calculating a classification index, defined by Y = ∑ i = 1 n l i * P i − E i / σ i wherein the classification index is dependent on a number (n) of the optical features (i) of the test dispersion, a significance parameter (l i) of the respective optical feature (i), a mean value (E i) of the respective optical feature (i), and a standard deviation (σ i) of the respective optical feature (i), and wherein the mean value (E i) of the optical feature (i) and the standard deviation (σ i) of the optical feature (i) were ascertained on the basis of first calibration data, wherein the first calibration data are derived from dispersions having a negative classification, in particular are derived from the first calibration data and second calibration data, wherein the second calibration data are derived from dispersions having positive classification, and wherein the significance parameters (l i) are derived from the first and from the second calibration data by means of a discrimination analysis, wherein in particular a Bayesian theory is used in the discrimination analysis, and wherein, based on a first mean classification index (Y 1), in particular a first focal point, of the first calibration data and a second mean classification index (Y 2), in particular a second focal point, of the second calibration data, a threshold value (Y s) is usable for the classification assistance, wherein Y > Y s is assigned to positive classification and Y < Y s is assigned to negative classification, and wherein a positive classification indicates a presence of a deficiency, a parasitic infestation, or a nonnormal state, wherein at least two optical features (i) are taken into consideration for the calculation of the classification index: Y n = 2 = l 1 * P 1 − E 1 / σ 1 + l 2 * P 2 − E 2 / σ 2, wherein n = 2 and a first optical feature is a measure of optical scattering in a transverse X direction in relation to an analysis beam and a second optical feature is a measure of optical scattering in a Y direction, which is perpendicular to the X direction and also perpendicular to the analysis beam, wherein the analysis beam extends through the test dispersion. - ascertaining measured values (P i) for optical features (i) of a test dispersion to be classified, wherein the test dispersion is formed from a dispersion medium, in particular blood plasma, and a dispersed phase and the dispersed phase has cells or cell components of organic materials, - calculating a classification index, defined by Y = ∑ i = 1 n l i * P i − E i / σ i wherein the classification index is dependent on a number (n) of the optical features (i) of the test dispersion, a significance parameter (l i) of the respective optical feature (i), a mean value (E i) of the respective optical feature (i), and a standard deviation (σ i) of the respective optical feature (i), and wherein the mean value (E i) of the optical feature (i) and the standard deviation (σ i) of the optical feature (i) were ascertained on the basis of first calibration data, wherein the first calibration data are derived from dispersions having a negative classification, in particular are derived from the first calibration data and second calibration data, wherein the second calibration data are derived from dispersions having positive classification, and wherein the significance parameters (l i) are derived from the first and from the second calibration data by means of a discrimination analysis, wherein in particular a Bayesian theory is used in the discrimination analysis, and wherein, based on a first mean classification index (Y 1), in particular a first focal point, of the first calibration data and a second mean classification index (Y 2), in particular a second focal point, of the second calibration data, a threshold value (Y s) is usable for the classification assistance, wherein Y > Y s is assigned to positive classification and Y < Y s is assigned to negative classification, and wherein a positive classification indicates a presence of a deficiency, a parasitic infestation, or a nonnormal state, wherein at least two optical features (i) are taken into consideration for the calculation of the classification index: Y n = 2 = l 1 * P 1 − E 1 / σ 1 + l 2 * P 2 − E 2 / σ 2, wherein n = 2 and a first optical feature is a measure of optical scattering in a transverse X direction in relation to an analysis beam and a second optical feature is a measure of optical scattering in a Y direction, which is perpendicular to the X direction and also perpendicular to the analysis beam, wherein the analysis beam extends through the test dispersion.