Abstract: The present invention relates to a method for controlling a scanning probe microscope having a probe (2) with a tip (21) for interacting with a sample (4), and a nanoscanner (1) for retaining the sample (4) or the probe (2), comprising the steps of monitoring the extension of the piezo element (1) along a first direction (R) along which the tip (21) is moved towards the sample (4), and adjusting the level of the probe (2) along the first direction (R) by means of an additional actuator (3), when the nanoscanner (1) exhibits an extension below or above a threshold value. The invention further relates to a device (100) for controlling a scanning probe microscope.

Abstract: The present invention relates to a method for controlling a scanning probe microscope having a probe (2) with a tip (21) for interacting with a sample (4), and a nanoscanner (1) for retaining the sample (4) or the probe (2), comprising the steps of monitoring the extension of the piezo element (1) along a first direction (R) along which the tip (21) is moved towards the sample (4), and adjusting the level of the probe (2) along the first direction (R) by means of an additional actuator (3), when the nanoscanner (1) exhibits an extension below or above a threshold value. The invention further relates to a device (100) for controlling a scanning probe microscope.

Abstract: The present invention relates to a method for classifying a tissue biopsy sample obtained from a tumor, comprising determining a plurality of stiffness values for said sample by measuring a plurality of points on the sample with a spatial resolution of at least 100 ?m and assigning the sample to a probability of malignancy. A sample showing a unimodal stiffness distribution is assigned to a high probability of being non-malignant, and a sample showing an at least bimodal stiffness distribution is assigned to a high probability of being malignant, wherein said stiffness distribution is characterized by a first peak exhibiting an at least two-fold higher stiffness value than a second peak. The present invention further relates to a system for classifying a tumor tissue biopsy sample.

Abstract: The present invention relates to a method for classifying a tissue biopsy sample obtained from a tumour, comprising determining a plurality of stiffness values for said sample by measuring a plurality of points on the sample with a spatial resolution of at least 100 ?m and assigning the sample to a probability of malignancy. A sample showing a unimodal stiffness distribution is assigned to a high probability of being non-malignant, and a sample showing an at least bimodal stiffness distribution is assigned to a high probability of being malignant, wherein said stiffness distribution is characterized by a first peak exhibiting an at least two-fold higher stiffness value than a second peak. The present invention further relates to a system for classifying a tumour tissue biopsy sample.