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Advances in Microfluidics - New Applications in Biology, Energy, and Materials Sciences

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ISBN: 9789535127857 9789535127864 9789535141471 Year: Pages: 422 DOI: 10.5772/60788 Language: English
Publisher: IntechOpen
Subject: Biotechnology
Added to DOAB on : 2019-10-03 07:51:49

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Increasing innovations and applications make microfluidics a versatile choice for researchers in many disciplines. This book consists of multiple review chapters that aim to cover recent advances and new applications of microfluidics in biology, electronics, energy, and materials sciences. It provides comprehensive views of various aspects of microfluidics ranging from fundamentals of fabrication, flow control, and droplet manipulation to the most recent exploration in emerging areas such as material synthesis, imaging and novel spectroscopy, and marriage with electronics. The chapters have many illustrations showcasing exciting results. This book should be useful for those who are eager to learn more about microfluidics as well as researchers who want to pick up new concepts and developments in this fast-growing field.

Cognitive Supervision for Robot-Assisted Minimally Invasive Laser Surgery

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Book Series: Springer Theses ISSN: 2190-5053 ISBN: 9783319303291 9783319303307 Year: Pages: 99 DOI: 10.1007/978-3-319-30330-7 Language: English
Publisher: Springer Nature
Subject: Medical technology
Added to DOAB on : 2016-12-20 12:03:50
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This thesis lays the groundwork for the automatic supervision of the laser incision process, which aims to complement surgeons’ perception of the state of tissues and enhance their control over laser incisions. The research problem is formulated as the estimation of variables that are representative of the state of tissues during laser cutting. Prior research in this area leveraged numerical computation methods that bear a high computational cost and are not straightforward to use in a surgical setting. This book proposes a novel solution to this problem, using models inspired by the ability of experienced surgeons to perform precise and clean laser cutting. It shows that these new models, which were extracted from experimental data using statistical learning techniques, are straightforward to use in a surgical setup, allowing greater precision in laser-based surgical procedures.

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