Optical tweezer calibration by using a part of the intensity distribution of a trapped particle

Yücel, Harun; Okumuşoğlu, N. T.

doi:10.1364/ao.55.007861

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…The force constant obtained with the 3 µm PS beads is about 7–8 pN/µm. This is on the lower end of the range of the force constants reached on different devices [ 3 , 7 , 11 , 39 , 40 , 41 , 42 ], but in some cases even smaller values were used [ 36 , 43 ]. Our device can, thus, be used for exerting the forces in the range of units, at most low tens, of pN/µm.…”

Section: Resultsmentioning

confidence: 99%

Optical Tweezers Apparatus Based on a Cost-Effective IR Laser—Hardware and Software Description

Burdík,

Kužela,

Fojtů

et al. 2024

Sensors

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Optical tweezers (OT), or optical traps, are a device for manipulating microscopic objects through a focused laser beam. They are used in various fields of physical and biophysical chemistry to identify the interactions between individual molecules and measure single-molecule forces. In this work, we describe the development of a homemade optical tweezers device based on a cost-effective IR diode laser, the hardware, and, in particular, the software controlling it. It allows us to control the instrument, calibrate it, and record and process the measured data. It includes the user interface design, peripherals control, recording, A/D conversion of the detector signals, evaluation of the calibration constants, and visualization of the results. Particular stress is put on the signal filtration from noise, where several methods were tested. The calibration experiments indicate a good sensitivity of the instrument that is thus ready to be used for various single-molecule measurements.

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Section: Resultsmentioning

confidence: 99%

Optical Tweezers Apparatus Based on a Cost-Effective IR Laser—Hardware and Software Description

Burdík,

Kužela,

Fojtů

et al. 2024

Sensors

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“…For CM, the accuracy on threshold effect is predictable as higher the threshold values will decrease the size of the active area. For the case of RSM, it is difficult to predict about the threshold effect due to the fact that the application of RSM with a threshold was performed first in [15,16] and it never be tested before. This makes the motivation of this work to investigate the threshold effect on the accuracy of the particle position using RSM and comparing the results with CM.…”

Section: Introductionmentioning

confidence: 99%

Threshold effect on particle tracking algorithms

Yücel

Velu

2018

AIP Conference Proceedings

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Automated particle tracking algorithms are widely used by soft matter physicists as a research tool to detect and construct the trajectories of micron-sized particles in fluids. Analyzing these trajectories will uncover the physics of the investigated particles mainly on the type of motion they undergo making them suitable for potential applications. A plethora of methods has been proposed and used for detection and tracking. In this work, we examine the performance of two commonly used tracking algorithms in terms of threshold dependencies in digital video images. One of them is the centroid method (CM), a well-known and used algorithm and the other is radial symmetry method (RSM) which is recently proposed. Here, we generate the synthetic digital video images consisting of randomly placed multiple particles and compare the absolute errors on the particle detection by varying threshold values. Our results suggest that both algorithms show dependence on the threshold value and on comparison RSM algorithm performs better than the CM algorithm when the noise level is zero. Moreover, the measured absolute errors show a strong dependence on threshold values when noise levels are increased (up to 20) especially for the RSM algorithm.

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“…Here, we focus on to use a fraction of the particle intensity distribution for radially symmetric distribution. The gradient vectors allow us to apply it as shown in [24] and it provides an advantage to solve the overlapping problem in the particles images. If the particle intensity distribution covers only a several ten pixels area, using a part of the distribution can be useless.…”

Section: Introductionmentioning

confidence: 99%

A new tracking algorithm for multiple colloidal particles close to contact

Yücel

Okumuşoğlu

2017

J. Phys.: Condens. Matter

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In this paper, we propose a new algorithm based on radial symmetry center method to track colloidal particles close to contact, where the optical images of the particles start to overlap in digital video microscopy. This overlapping effect is important to observe the pair interaction potential in colloidal studies and it appears as additional interaction in the measurement of the interaction with conventional tracking analysis. The proposed algorithm in this work is simple, fast and applicable for not only two particles but also three and more particles without any modification. The algorithm uses gradient vectors of the particle intensity distribution, which allows us to use a part of the symmetric intensity distribution in the calculation of the actual particle position. In this study, simulations are performed to see the performance of the proposed algorithm for two and three particles, where the simulation images are generated by using fitted curve to experimental particle image for different sized particles. As a result, the algorithm yields the maximum error smaller than 2nm for 5.53µm silica particles in contact condition.

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Optical tweezer calibration by using a part of the intensity distribution of a trapped particle

Cited by 6 publications

References 14 publications

Optical Tweezers Apparatus Based on a Cost-Effective IR Laser—Hardware and Software Description

Optical Tweezers Apparatus Based on a Cost-Effective IR Laser—Hardware and Software Description

Threshold effect on particle tracking algorithms

A new tracking algorithm for multiple colloidal particles close to contact

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