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Andreas Hierlemann | |
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Born | 17 August 1964 59) (age |
Nationality | German |
Known for | Development of CMOS chemical and biomicrosensors, CMOS high-density microelectrode arrays |
Scientific career | |
Fields | Biosystems engineering |
Institutions | ETH Zurich |
Andreas Hierlemann (17 August 1964) is a German chemist and professor of Biosystems Engineering at ETH Zurich. He is known for his work in the field of CMOS-based chemical and biomicrosensors and high-density microelectrode arrays.
From 1985 to 1991, Hierlemann studied chemistry at the University of Tübingen, Germany. He received a PhD from the University of Tübingen in 1996 for his work on Mass-sensitive detection of organic volatiles using modified polysiloxanes . 1997–98 he held postdoctoral positions at Texas A&M University in College Station, Texas, USA, and at Sandia National Laboratories in Albuquerque, New Mexico, USA. From 1999 to 2004 he was research team leader at the Physical Electronics Laboratory in the Department of Physics of ETH Zürich, Switzerland, becoming associate professor for microsensors in 2004. In 2008 he was named full professor of Biosystems Engineering, Department of Biosystems Science and Engineering of ETH Zurich in Basel, Switzerland.
Hierlemann's research initially was mostly in the area of chemical sensors and microsensors. [1] [2] In particular, he worked on the detection of organic volatiles and the discrimination of enantiomers in the gas phase. [3] [4] He then adopted microtechnology and, specifically, CMOS-based microelectronics to devise complex microsensor systems. [1] [5] [6] The current interdisciplinary research is rooted in engineering and physics and targeted at questions in biology and medicine. It includes the development of CMOS-based integrated chemical and biomicrosystems, [1] [5] [6] as well as bioelectronics and high-density microelectrode arrays. [7] [8] [9] The high-density microelectrode arrays are used for fundamental research in information processing and signaling characteristics of neurons or brain cells. [7] [8] [9] Moreover, the research group is engaged in the development of microfluidics for investigating the characteristics of single cells and microtissues.
Applications of Hierlemann's and his group's technologies are in the fields of systems biology, drug testing, personalized medicine, and neuroscience.
A microarray is a multiplex lab-on-a-chip. Its purpose is to simultaneously detect the expression of thousands of biological interactions. It is a two-dimensional array on a solid substrate—usually a glass slide or silicon thin-film cell—that assays (tests) large amounts of biological material using high-throughput screening miniaturized, multiplexed and parallel processing and detection methods. The concept and methodology of microarrays was first introduced and illustrated in antibody microarrays by Tse Wen Chang in 1983 in a scientific publication and a series of patents. The "gene chip" industry started to grow significantly after the 1995 Science Magazine article by the Ron Davis and Pat Brown labs at Stanford University. With the establishment of companies, such as Affymetrix, Agilent, Applied Microarrays, Arrayjet, Illumina, and others, the technology of DNA microarrays has become the most sophisticated and the most widely used, while the use of protein, peptide and carbohydrate microarrays is expanding.
A sensor is a device that produces an output signal for the purpose of sensing a physical phenomenon.
A biosensor is an analytical device, used for the detection of a chemical substance, that combines a biological component with a physicochemical detector. The sensitive biological element, e.g. tissue, microorganisms, organelles, cell receptors, enzymes, antibodies, nucleic acids, etc., is a biologically derived material or biomimetic component that interacts with, binds with, or recognizes the analyte under study. The biologically sensitive elements can also be created by biological engineering. The transducer or the detector element, which transforms one signal into another one, works in a physicochemical way: optical, piezoelectric, electrochemical, electrochemiluminescence etc., resulting from the interaction of the analyte with the biological element, to easily measure and quantify. The biosensor reader device connects with the associated electronics or signal processors that are primarily responsible for the display of the results in a user-friendly way. This sometimes accounts for the most expensive part of the sensor device, however it is possible to generate a user friendly display that includes transducer and sensitive element. The readers are usually custom-designed and manufactured to suit the different working principles of biosensors.
Photodetectors, also called photosensors, are sensors of light or other electromagnetic radiation. There are a wide variety of photodetectors which may be classified by mechanism of detection, such as photoelectric or photochemical effects, or by various performance metrics, such as spectral response. Semiconductor-based photodetectors typically use a p–n junction that converts photons into charge. The absorbed photons make electron–hole pairs in the depletion region. Photodiodes and photo transistors are a few examples of photo detectors. Solar cells convert some of the light energy absorbed into electrical energy.
In engineering, hardware architecture refers to the identification of a system's physical components and their interrelationships. This description, often called a hardware design model, allows hardware designers to understand how their components fit into a system architecture and provides to software component designers important information needed for software development and integration. Clear definition of a hardware architecture allows the various traditional engineering disciplines to work more effectively together to develop and manufacture new machines, devices and components.
An active-pixel sensor (APS) is an image sensor, which was invented by Peter J.W. Noble in 1968, where each pixel sensor unit cell has a photodetector and one or more active transistors. In a metal–oxide–semiconductor (MOS) active-pixel sensor, MOS field-effect transistors (MOSFETs) are used as amplifiers. There are different types of APS, including the early NMOS APS and the now much more common complementary MOS (CMOS) APS, also known as the CMOS sensor. CMOS sensors are used in digital camera technologies such as cell phone cameras, web cameras, most modern digital pocket cameras, most digital single-lens reflex cameras (DSLRs), mirrorless interchangeable-lens cameras (MILCs), and lensless imaging for cells.
Nanoelectronics refers to the use of nanotechnology in electronic components. The term covers a diverse set of devices and materials, with the common characteristic that they are so small that inter-atomic interactions and quantum mechanical properties need to be studied extensively. Some of these candidates include: hybrid molecular/semiconductor electronics, one-dimensional nanotubes/nanowires or advanced molecular electronics.
Joseph Wang is an American biomedical engineer and inventor. He is a Distinguished Professor, SAIC Endowed Chair, and former Chair of the Department of Nanoengineering at the University of California, San Diego, who specialised in nanomachines, biosensors, nano-bioelectronics, wearable devices, and electrochemistry. He is also the Director of the UCSD Center of Wearable Sensors and co-director of the UCSD Center of Mobile Health Systems and Applications (CMSA).
Bioelectronics is a field of research in the convergence of biology and electronics.
Microelectrode arrays (MEAs) are devices that contain multiple microelectrodes through which neural signals are obtained or delivered, essentially serving as neural interfaces that connect neurons to electronic circuitry. There are two general classes of MEAs: implantable MEAs, used in vivo, and non-implantable MEAs, used in vitro.
Mark G. Allen is a professor specializing in microfabrication, nanotechnology, and microelectromechanical systems at the University of Pennsylvania, where he is currently Alfred Fitler Moore Professor of Electrical and Systems Engineering Director of the Singh Center for Nanotechnology, and leader of the Microsensor and Microactuator Research Group. Prior to his joining the University of Pennsylvania in 2013, he was with the Georgia Institute of Technology, where he was Regents' Professor of Electrical and Computer Engineering and the J.M. Pettit Professor in Microelectronics. While at Georgia Tech, he also held multiple administrative positions, including Senior Vice Provost for Research and Innovation; Acting Director of the Georgia Electronic Design Center; and Inaugural Executive Director of Georgia Tech's Institute for Electronics and Nanotechnology. He was editor in chief of the Journal of Micromechanics and Microengineering (JMM), and currently serves on the editorial board of JMM as well as the journal Microsystems and Nanoengineering.
Donhee Ham is Gordon McKay Professor of Applied Physics and Electrical Engineering at Harvard University and Fellow of Samsung Electronics.
The organic electrochemical transistor (OECT) is an organic electronic device which functions like a transistor. The current flowing through the device is controlled by the exchange of ions between an electrolyte and the OECT channel composed of an organic conductor or semiconductor. The exchange of ions is driven by a voltage applied to the gate electrode which is in ionic contact with the channel through the electrolyte. The migration of ions between the channel and the electrolyte is accompanied by electrochemical redox reactions occurring in the channel material. The electrochemical redox of the channel along with ion migration changes the conductivity of the channel in a process called electrochemical doping. OECTs are being explored for applications in biosensors, bioelectronics and large-area, low-cost electronics. OECTs can also be used as multi-bit memory devices that mimic the synaptic functionalities of the brain. For this reason, OECTs can be also being investigated as elements in neuromorphic computing applications.
Stéphanie P. Lacour is a French neurotechnologist and full professor holding the Foundation Bertarelli Chair in Neuroprosthetic Technology at the Swiss Federal Institute of Technology in Lausanne (EPFL). Lacour is a pioneer in the field of stretchable electronics and directs a laboratory at EPFL which specializes in the development of Soft BioElectronic Interfaces to enable seamless integration of neuroprosthetic devices into human tissues. Lacour is also a co-founding member and director of the Center for Neuroprosthetics at the EPFL Satellite Campus in Geneva, Switzerland.
Simone Schürle-Finke is a German biomedical engineer, assistant professor, and Principal Investigator for the Responsive Biomedical Systems Laboratory in Switzerland. Schürle is a pioneer in nanorobotic and magnetic servoing technologies.
Electrochemical Random-Access Memory (ECRAM) is a type of non-volatile memory (NVM) with multiple levels per cell (MLC) designed for deep learning analog acceleration. An ECRAM cell is a three-terminal device composed of a conductive channel, an insulating electrolyte, an ionic reservoir, and metal contacts. The resistance of the channel is modulated by ionic exchange at the interface between the channel and the electrolyte upon application of an electric field. The charge-transfer process allows both for state retention in the absence of applied power, and for programming of multiple distinct levels, both differentiating ECRAM operation from that of a field-effect transistor (FET). The write operation is deterministic and can result in symmetrical potentiation and depression, making ECRAM arrays attractive for acting as artificial synaptic weights in physical implementations of artificial neural networks (ANN). The technological challenges include open circuit potential (OCP) and semiconductor foundry compatibility associated with energy materials. Universities, government laboratories, and corporate research teams have contributed to the development of ECRAM for analog computing. Notably, Sandia National Laboratories designed a lithium-based cell inspired by solid-state battery materials, Stanford University built an organic proton-based cell, and International Business Machines (IBM) demonstrated in-memory selector-free parallel programming for a logistic regression task in an array of metal-oxide ECRAM designed for insertion in the back end of line (BEOL). In 2022, researchers at Massachusetts Institute of Technology built an inorganic, CMOS-compatible protonic technology that achieved near-ideal modulation characteristics using nanosecond fast pulses
Carlotta Guiducci is an Italian bio-engineer. Her research is invested in bio-molecular analysis based on lab-on-a-chip devices. She is an Associate Professor at EPFL and head of the Laboratory of Life Sciences Electronics located at EPFL's Lausanne campus.
Edoardo Charbon is a Swiss electrical engineer. He is a professor of quantum engineering at EPFL and the head of the Laboratory of Advanced Quantum Architecture (AQUA) at the School of Engineering.
Wei Gao is a Chinese-American biomedical engineer who currently serves as an assistant professor of medical engineering at the California Institute of Technology (Caltech). Gao has been a professor at Caltech since 2017 and is an associate editor of the journals Science Advances, npj Flexible Electronics (Nature), Journal on Flexible Electronics (IEEE), and Sensors & Diagnosis.