Feedback control in optical tweezers enables thermodynamic experiments for biological molecules

Scilight ◽  
2018 ◽  
Vol 2018 (44) ◽  
pp. 440003
Author(s):  
Drew DeJarnette
Keyword(s):  
Feedback Control ◽  
Optical Tweezers ◽  
Biological Molecules

scholarly journals Feedback Control for Optical Tweezers Instruments: Position Clamping and Detection Laser Intensity Stabilization

2009 ◽  
Vol 96 (3) ◽  
pp. 290a
Author(s):  
Heikki Ojala ◽  
Anders Korsbäck ◽  
Anders E. Wallin ◽  
Edward Haeggström
Keyword(s):  
Feedback Control ◽  
Optical Tweezers ◽  
Laser Intensity ◽  
Intensity Stabilization

PRINCIPLES OF SINGLE-MOLECULE MANIPULATION AND ITS APPLICATION IN BIOLOGICAL PHYSICS

2012 ◽  
Vol 26 (13) ◽  
pp. 1230006 ◽  
Author(s):  
WEI-HUNG CHEN ◽  
JONATHAN D. WILSON ◽  
SITHARA S. WIJERATNE ◽  
SARAH A. SOUTHMAYD ◽  
KUAN-JIUH LIN ◽  
...  
Keyword(s):  
Optical Tweezers ◽  
Single Molecule ◽  
Biological Molecules ◽  
Force Detection ◽  
Biomolecular Systems ◽  
Single Molecule Level ◽  
Detection Techniques ◽  
Atomic Force ◽  
Manipulation System ◽  
Single Molecule Manipulation

Recent advances in nanoscale manipulation and piconewton force detection provide a unique tool for studying the mechanical and thermodynamic properties of biological molecules and complexes at the single-molecule level. Detailed equilibrium and dynamics information on proteins and DNA have been revealed by single-molecule manipulation and force detection techniques. The atomic force microscope (AFM) and optical tweezers have been widely used to quantify the intra- and inter-molecular interactions of many complex biomolecular systems. In this article, we describe the background, analysis, and applications of these novel techniques. Experimental procedures that can serve as a guide for setting up a single-molecule manipulation system using the AFM are also presented.

scholarly journals CoRa –A general approach for quantifying biological feedback control

2020 ◽  
Author(s):  
Mariana Gómez-Schiavon ◽  
Hana El-Samad
Keyword(s):  
Feedback Control ◽  
Control Systems ◽  
General Framework ◽  
Control Mechanism ◽  
Biological Molecules ◽  
Control Mechanisms ◽  
Biological Processes ◽  
Biological Feedback ◽  
Feedback Systems ◽  
Feedback Control Systems

AbstractFeedback control is a fundamental underpinning of life, underlying homeostasis of biological processes at every scale of organization, from cells to ecosystems. The ability to evaluate the contribution and limitations of feedback control mechanisms operating in cells is a critical step for understanding and ultimately designing feedback control systems with biological molecules. Here, we introduce CoRa –or ControlRatio–, a general framework that quantifies the contribution of a biological feedback control mechanism to adaptation using a mathematically controlled comparison to an identical system that does not contain the feedback. CoRa provides a simple and intuitive metric with broad applicability to biological feedback systems.

Rapid feedback control and stabilization of an optical tweezers with a budget microcontroller

2014 ◽  
Vol 35 (5) ◽  
pp. 055009 ◽  
Author(s):  
Daniel Nino ◽  
Haowei Wang ◽  
Joshua N Milstein
Keyword(s):  
Feedback Control ◽  
Optical Tweezers

scholarly journals Dual-beam intracavity optical tweezers with all-optical independent axial and radial self-feedback control schemes

2021 ◽  
Author(s):  
Tengfang Kuang ◽  
Zijie Liu ◽  
WEI XIONG ◽  
Xiang Han ◽  
Guangzong Xiao ◽  
...  
Keyword(s):  
Feedback Control ◽  
Optical Tweezers ◽  
Dual Beam ◽  
Control Schemes ◽  
All Optical

scholarly journals Design and analysis of a Proportional-Integral-Derivative controller with biological molecules

2018 ◽  
Author(s):  
Michael Chevalier ◽  
Mariana Gómez-Schiavon ◽  
Andrew Ng ◽  
Hana El-Samad
Keyword(s):  
Steady State ◽  
Feedback Control ◽  
Pid Control ◽  
De Novo ◽  
Control Strategies ◽  
Biological Molecules ◽  
Proportional Integral Derivative ◽  
Integral Control ◽  
Proportional Integral Derivative Controller ◽  
Proportional Integral

SummaryThe ability of cells to regulate their function through feedback control is a fundamental underpinning of life. The capability to engineer de novo feedback control with biological molecules is ushering in an era of robust functionality for many applications in biotechnology and medicine. To fulfill their potential, feedback control strategies implemented with biological molecules need to be generalizable, modular and operationally predictable. Proportional-Integral-Derivative (PID) control fulfills this role for technological systems and is a commonly used strategy in engineering. Integral feedback control allows a system to return to an invariant steady-state value after step disturbances, hence enabling its robust operation. Proportional and derivative feedback control used with integral control help sculpt the dynamics of the return to steady-state following perturbation. Recently, a biomolecular implementation of integral control was proposed based on an antithetic motif in which two molecules interact stoichiometrically to annihilate each other’s function. In this work, we report how proportional and derivative implementations can be layered on top of this integral architecture to achieve a biochemical PID control design. We illustrate through computational and analytical treatments that the addition of proportional and derivative control improves performance, and discuss practical biomolecular implementations of these control strategies.

scholarly journals Stiffer optical tweezers through real-time feedback control

2008 ◽  
Vol 92 (22) ◽  
pp. 224104 ◽  
Author(s):  
Anders E. Wallin ◽  
Heikki Ojala ◽  
Edward Hæggström ◽  
Roman Tuma
Keyword(s):  
Feedback Control ◽  
Real Time ◽  
Optical Tweezers

Elastic Scattering in Electron Microscopy

1973 ◽  
Vol 31 ◽  
pp. 252-253
Author(s):  
J. Langmore ◽  
M. Isaacson ◽  
J. Wall ◽  
A. V. Crewe
Keyword(s):  
Electron Microscopy ◽  
Elastic Scattering ◽  
Cross Section ◽  
Quantum Noise ◽  
Dark Field ◽  
Elastic Cross Section ◽  
Biological Molecules ◽  
Dark Field Microscopy ◽  
Field Systems ◽  
Effects Of Radiation

High resolution dark field microscopy is becoming an important tool for the investigation of unstained and specifically stained biological molecules. Of primary consideration to the microscopist is the interpretation of image Intensities and the effects of radiation damage to the specimen. Ignoring inelastic scattering, the image intensity is directly related to the collected elastic scattering cross section, σɳ, which is the product of the total elastic cross section, σ and the eficiency of the microscope system at imaging these electrons, η. The number of potentially bond damaging events resulting from the beam exposure required to reduce the effect of quantum noise in the image to a given level is proportional to 1/η. We wish to compare η in three dark field systems.

3-D reconstruction of molecular shape from microcrystal thin sections

1983 ◽  
Vol 41 ◽  
pp. 748-749
Author(s):  
S. Cusack ◽  
J.-C. Jésior
Keyword(s):  
Three Dimensional ◽  
Molecular Shape ◽  
Biological Molecules ◽  
Fourier Space ◽  
Single Particles ◽  
Thin Sections ◽  
Standard Methods ◽  
X Ray ◽  
X Ray Crystallography ◽  
Dimensional Reconstruction

Three-dimensional reconstruction techniques using electron microscopy have been principally developed for application to 2-D arrays (i.e. monolayers) of biological molecules and symmetrical single particles (e.g. helical viruses). However many biological molecules that crystallise form multilayered microcrystals which are unsuitable for study by either the standard methods of 3-D reconstruction or, because of their size, by X-ray crystallography. The grid sectioning technique enables a number of different projections of such microcrystals to be obtained in well defined directions (e.g. parallel to crystal axes) and poses the problem of how best these projections can be used to reconstruct the packing and shape of the molecules forming the microcrystal.Given sufficient projections there may be enough information to do a crystallographic reconstruction in Fourier space. We however have considered the situation where only a limited number of projections are available, as for example in the case of catalase platelets where three orthogonal and two diagonal projections have been obtained (Fig. 1).

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