Most solid cancer tumors, such as breast cancer and brain tumors, are frequently treated by surgeries, in which only cancerous tissue should be removed. However, identifying the margin (i.e. border between tumor and healthy tissue) visually is at best challenging. For the surgical removal of tissue diathermy knifes or electric bipolar forceps are frequently used to decrease bleeding. The procedure produces surgical smoke that contains cell metabolites. An emerging and promising technique for molecular analysis of surgical smoke is differential mobility spectrometry (DMS), which employs an electric field consisting of an asymmetric oscillating high intensity field and a low static field component to obtain information on the electric field-mobility dependence of ions. One bottleneck for the widespread application of DMS for the analysis during tumor resection is the dependence of DMS measurements on environmental parameters such as humidity, temperature and pressure. This talk will present an overview on our recent work on distinguishing cancerous and non-cancerous tissue based on surgical smoke measured by DMS, with a focus on compensating the impact of environmental parameters on the DMS measurements.
Dr. Philipp Müller is a senior researcher at the Tampere University, Finland, and an Academy Research Fellow of the Research Council of Finland. He received his Dr.tech. from Tampere University of Technology, Finland, in 2016. During his postdoctoral research he worked on and led various academic and industrial projects, focusing on data analytics for sensor data from inertial measurement units, ultrasound, heartrate monitors, oxygen consumption devices as well as ion mobility spectrometry and differential mobility spectrometry. Since 2024 he has been leading a project mitigating the impact of changes in environmental parameters (humidity, temperature, pressure) on differential mobility spectrometry measurements of surgical smoke.
Most solid cancer tumors, such as breast cancer and brain tumors, are frequently treated by surgeries, in which only cancerous tissue should be removed. However, identifying the margin (i.e. border between tumor and healthy tissue) visually is at best challenging. For the surgical removal of tissue diathermy knifes or electric bipolar forceps are frequently used to decrease bleeding. The procedure produces surgical smoke that contains cell metabolites. An emerging and promising technique for molecular analysis of surgical smoke is differential mobility spectrometry (DMS), which employs an electric field consisting of an asymmetric oscillating high intensity field and a low static field component to obtain information on the electric field-mobility dependence of ions. One bottleneck for the widespread application of DMS for the analysis during tumor resection is the dependence of DMS measurements on environmental parameters such as humidity, temperature and pressure. This talk will present an overview on our recent work on distinguishing cancerous and non-cancerous tissue based on surgical smoke measured by DMS, with a focus on compensating the impact of environmental parameters on the DMS measurements.
Dr. Philipp Müller is a senior researcher at the Tampere University, Finland, and an Academy Research Fellow of the Research Council of Finland. He received his Dr.tech. from Tampere University of Technology, Finland, in 2016. During his postdoctoral research he worked on and led various academic and industrial projects, focusing on data analytics for sensor data from inertial measurement units, ultrasound, heartrate monitors, oxygen consumption devices as well as ion mobility spectrometry and differential mobility spectrometry. Since 2024 he has been leading a project mitigating the impact of changes in environmental parameters (humidity, temperature, pressure) on differential mobility spectrometry measurements of surgical smoke.
