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Pollen Monitor BAA500

Fig. 1: Pollen monitoring system.

Results

Figure 2 shows a synthetic image calculated from the image stack obtained from a z-scan of the microscope. This image contains all planes of maximum sharpness of the single images of the stack. The subsequent classification step uses different descriptors for the characteristics of the objects (Fig. 3).

The test results of this classification process are given in Tab. 1. To guarantee these results, however, quality assurance of the overall process from air intake to classification is mandatory.

Fig. 2: Synthetic, two-dimensional image with segmented pollen.

Fig. 3: Same as Fig. 2, with classified pollen (green) and dust particles (red).

Pollen taxa

Recall (average)

Precision (average)

Allergologically relevant

94 %

92 %

Allergologically not relevant

96 %

94 %

Non-pollen objects

80 %

90 %

Tab. 1: Test results of classification process. Recall: number of correctly classified pollen relative to number of pollen classified by a human counter. Precision: number of correctly classified pollen relative to number of pollen classified by computer.

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