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Label-free and Multi-parametric Monitoring of Cell-based Assays with Substrate-embedded Sensors

  • Book
  • © 2018

Overview

Authors:
  1. Maximilian Oberleitner

    1. Institute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, Regensburg, Germany

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  • Doctoral thesis nominated as an outstanding PhD thesis by the University of Regensburg, Germany
  • Describes novel sensors for obtaining dynamic cell response information
  • Applies a variety of analytical methodology for multi-parametric monitoring of cell-based assays
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. Introduction

    • Maximilian Oberleitner
    Pages 1-30

  3. Objectives

    • Maximilian Oberleitner
    Pages 31-34

  4. Methods and Instrumentation

    • Maximilian Oberleitner
    Pages 35-114

  5. MQCM: Multiple Cytomechanic Sensing

    • Maximilian Oberleitner
    Pages 115-150

  6. QCM-ECIS: Combined Viscoelastic and Dielectric Sensing of Cells

    • Maximilian Oberleitner
    Pages 151-293

  7. QCM-OCS: Optochemical Sensing of Temperature and pO2 in the Cell Surface Junction

    • Maximilian Oberleitner
    Pages 295-343

  8. Summary

    • Maximilian Oberleitner
    Pages 345-348

  9. Back Matter

    Pages 349-370
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Keywords

About this book

This thesis describes novel substrate embedded physical sensors that can be used to monitor different types of cell-based assays non-invasively and label-free. The sensors described provide integrative information of the cells under study with an adaptable time resolution (ranging from milliseconds to days). This information about the dynamic cell response to chemical, physical or biological stimuli defines a new paradigm in fundamental biomedical research.


The author, Maximilian Oberleitner, describes approaches in which the cells are directly grown on different sensor surfaces (gold-film electrodes, shear wave resonators or dye-doped polymer films). This approach, with the reacting cells in particularly close proximity and contact with the sensor surface, is key to a remarkable sensitivity, opening the way for a variety of new applications. This thesis not only introduces the fundamentals of each approach, but it also describes in great detail the design
principles and elucidates the boundary conditions of the new sensors.

Authors and Affiliations

  • Institute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, Regensburg, Germany

    Maximilian Oberleitner

About the author

Maximilian Oberleitner was born in 1983 in Bavaria, Germany and graduated from the University of Regensburg with a Diploma in Chemistry in 2008. Based on this doctoral thesis “Label-free and Multi-parametric Monitoring of Cell-based Assays with Substrate-embedded Sensors” he obtained his PhD in Analytical Chemistry in 2016 in the Institute of Analytical Chemistry, Chemo- and Biosensors at the University of Regensburg under the supervision of Prof. Dr. Joachim Wegener. His research work was focused on the development and improvement of substrate-integrated sensors for the analysis of living cells. These sensors enable the monitoring of cell-substrate interactions and the real-time analysis of assays with adherently grown cells in a non-invasive, label-free and – by combinations of the different types of sensors – even in a multi-parametric manner. Since 2015 he works at a global healthcare company in Austria. As project leader in the quality unit he is responsible for stability studiesand quality evaluations of antibiotics.

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