scholarly journals Using differential phase for 3D localization of tracer particles in digital inline holographic microscopy PIV/PTV (DIHM-PIV/PTV)

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Asif Ahmed ◽  
Bihai Sun ◽  
Victor J. Cadarso ◽  
Julio Soria
Keyword(s):  
Reference Plane ◽  
Particle Volume ◽  
Time Resolved ◽  
3 Dimensional ◽  
Differential Phase ◽  
3D Localization ◽  
Tracer Particles ◽  
Holographic Microscopy ◽  
Particle Localization ◽  
Laboratory Tool

Digital inline holographic microscopy PIV/PTV (DIHM-PIV/PTV) has the ability to provide 4-dimensional (4D), i.e. time-resolved, 3-component 3-dimensional (3C-3D) flow measurement with high spatial and temporal resolution, compact optical setup and minimal calibration Sun et al. (2020) compared to most other volumetric techniques such as tomo-PIV, defocusing PIV, etc. Despite all these advantages DIHMPIV/PTV has not yet developed into a standard laboratory tool due to some major limitations such as the extended depth-of-focus (DOF) problem and the virtual image effect which cause artefacts in the standard reconstruction volume limiting the seeding concentration and thus the achievable velocity spatial resolution. In order to mitigate the above-mentioned limitations we present a novel particle localization and extraction methodology which allows the minimization of these artefacts from the standard reconstruction and perform PIV/PTV analysis on the particle volume fields only. The proposed algorithm is based on the differential phase, which is the axial phase shift of the object wave compared to the reference plane wave propagation.

scholarly journals Information-Efficient, Off-Center Sampling Results in Improved Precision in 3D Single-Particle Tracking Microscopy

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 498
Author(s):  
Chen Zhang ◽  
Kevin Welsher
Keyword(s):  
Fisher Information ◽  
Particle Tracking ◽  
Single Particle ◽  
Biological Samples ◽  
Tracking System ◽  
Single Particle Tracking ◽  
Uniform Sampling ◽  
Single Dimension ◽  
3D Localization ◽  
Particle Localization

In this work, we present a 3D single-particle tracking system that can apply tailored sampling patterns to selectively extract photons that yield the most information for particle localization. We demonstrate that off-center sampling at locations predicted by Fisher information utilizes photons most efficiently. When performing localization in a single dimension, optimized off-center sampling patterns gave doubled precision compared to uniform sampling. A ~20% increase in precision compared to uniform sampling can be achieved when a similar off-center pattern is used in 3D localization. Here, we systematically investigated the photon efficiency of different emission patterns in a diffraction-limited system and achieved higher precision than uniform sampling. The ability to maximize information from the limited number of photons demonstrated here is critical for particle tracking applications in biological samples, where photons may be limited.

Application of time-resolved digital holographic microscopy in studies of early femtosecond laser ablation

2012 ◽  
Vol 108 (2) ◽  
pp. 343-349 ◽  
Author(s):  
Aivaras Urniežius ◽  
Nerijus Šiaulys ◽  
Viačeslav Kudriašov ◽  
Valdas Sirutkaitis ◽  
Andrius Melninkaitis
Keyword(s):  
Laser Ablation ◽  
Femtosecond Laser ◽  
Femtosecond Laser Ablation ◽  
Digital Holographic Microscopy ◽  
Time Resolved ◽  
Holographic Microscopy

Improvement of Micro-PIV Resolution by Selective Seeding

2006 ◽  
Author(s):  
Michal M. Mielnik ◽  
Lars R. Sætran
Keyword(s):  
Optical Measurement ◽  
Fluid Layer ◽  
Field Measurements ◽  
Time Resolved ◽  
Micro Piv ◽  
Tracer Particles ◽  
Seeding Method ◽  
Image Velocimetry ◽  
Out Of Plane ◽  
Measurement Depth

A novel seeding method, permitting high out-of-plane resolution and instantaneous (time-resolved) velocity field measurements using a standard Microscale Particle Image Velocimetry (micro-PIV) setup, is presented. The method relies on selective seeding of a thin fluid layer within an otherwise particle-free flow. The generated particle sheet defines the depth and position of the measurement plane, independently of the details of the optical setup. Therefore, for low magnification objectives in particular, considerable improvement in the measurement depth is possible. Selectively seeded micro-PIV (SeS-PIV) is applied to a microchannel flow, and the measured instantaneous velocity fields are in excellent agreement with the theoretical solution for the flowfield. The currently presented measurements have a depth-wise resolution 20% below the estimated optical measurement depth of the micro-PIV system. In principle, a measurement depth corresponding to the diameter of the tracer particles may be achieved.

Time-Resolved 3-Dimensional Velocity Mapping in the Thoracic Aorta

2004 ◽  
Vol 28 (4) ◽  
pp. 459-468 ◽  
Author(s):  
Michael Markl ◽  
Mary T Draney ◽  
Michael D Hope ◽  
Jonathan M Levin ◽  
Frandics P Chan ◽  
...  
Keyword(s):  
Thoracic Aorta ◽  
Velocity Mapping ◽  
Time Resolved ◽  
3 Dimensional

Time-Resolved Fluorescence in 3-Dimensional Ordered Columnar Discotic Materials

2001 ◽  
Vol 105 (20) ◽  
pp. 4596-4602 ◽  
Author(s):  
A. Bayer ◽  
J. Hübner ◽  
J. Kopitzke ◽  
M. Oestreich ◽  
W. Rühle ◽  
...  
Keyword(s):  
Time Resolved Fluorescence ◽  
Time Resolved ◽  
3 Dimensional

3-Dimensional Localization System Based on Extension of Beacon Nodes and Segmentation of Coordinate Space

2014 ◽  
Vol 988 ◽  
pp. 489-497 ◽  
Author(s):  
Dong Myung Lee ◽  
Ho Chul Lee ◽  
Yun Hae Kim
Keyword(s):  
Mobile Node ◽  
Coordinate Space ◽  
Localization Algorithm ◽  
Localization System ◽  
3 Dimensional ◽  
3D Space ◽  
Performance Metric ◽  
3D Localization ◽  
System 2 ◽  
Beacon Node

In this paper, the 3 Dimensional (3D) localization system based on extension of beacon nodes and segmentation of coordinate space is proposed and the performance of the system is analyzed. The main functions in the 3D localization system are 1) the equations for calculating the location coordinates of the 3D localization system by intersection of 3 sphere equations; 2) the extension concept of beacon nodes; 3) the compensation scheme for the 3D localization algorithm; 4) calculation of the location coordinate in selected segmented space. The distance error (Derror) between the beacon and mobile node can be derived and it is used to performance metric for proposed system. It can be inferred that 1) LSCA is more stable and reliable system than LSNOCA, and it can be more useful to the practical localization system; 2) The Derror is the smallest value when the segmented distance of 3D space for the 3D localization system is set to be 1m; 3) The Derror when the height of the beacon node is 1.5m is largely lower than when that is 2.3m.

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