Stiffer optical tweezers through real-time feedback control
نویسندگان
چکیده
منابع مشابه
Dual-trap optical tweezers with real-time force clamp control.
Single molecule force clamp experiments are widely used to investigate how enzymes, molecular motors, and other molecular mechanisms work. We developed a dual-trap optical tweezers instrument with real-time (200 kHz update rate) force clamp control that can exert 0-100 pN forces on trapped beads. A model for force clamp experiments in the dumbbell-geometry is presented. We observe good agreemen...
متن کاملReal-Time Output Feedback Neurolinearization
An adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. Another key feature of this structure is the fact that, it does not need model of the system. In this scheme, neurolinearizer has few weights, so it is practical in adaptive situations. Online training of neuroline...
متن کاملFeedback Control Real-Time Scheduling
We develop Feedback Control real-time Scheduling (FCS) as a unified framework to provide Quality of Service (QoS) guarantees in unpredictable environments (such as ebusiness servers on the Internet). FCS includes four major components. First, novel scheduling architectures provide performance control to a new category of QoS critical systems that cannot be addressed by traditional open loop sch...
متن کاملElectronic control of optical tweezers using space-time-wavelength mapping
We present a new approach for electronic control of optical tweezers by using space-time-wavelength mapping (STWM), a technique that uses time-domain modulation to control local intensity values and hence the resulting optical force in space. The proposed technique enables direct control of magnitude, location, and polarity of force hot spots created by Lorentz force (gradient force). In this p...
متن کاملreal-time output feedback neurolinearization
an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations. online training of neurolinearizer is compared to model predictive recurrent training...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Physics Letters
سال: 2008
ISSN: 0003-6951,1077-3118
DOI: 10.1063/1.2940339