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implementation of the interactive data language, idl, particle tracking software  (MathWorks Inc)


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    Structured Review

    MathWorks Inc implementation of the interactive data language, idl, particle tracking software
    Particle Tracking Process—describes the particle tracking process. ( a ) shows a dry milli-channel of cross-section A = 515 × 315 μ m 2 and length L = 13.268 mm with a 300 × 700 μ m 2 TMP resistor placed 1027 μ m from the reservoir edge. ( b ) shows neutrally buoyant micro-spheres with a diameter of D = 27–32 μ m in a channel filled with water. <t>A</t> <t>MATLAB</t> implementation of the interactive data language, <t>IDL,</t> particle tracking software is used to mark particles ( c ) and link particle movement into trajectories ( d ). Particle trajectories are colored in accordance to average velocity in which the fastest moving particles (shown in yellow with a velocity of 19.2 μ m/pulse) are near the center of the channel while the slowest (shown in blue with a velocity of less than 1 μ m/pulse) are towards the walls.
    Implementation Of The Interactive Data Language, Idl, Particle Tracking Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/interactive+data+language+software/pmc09610814-123-8-1
    Average 90 stars, based on 1 article reviews
    implementation of the interactive data language, idl, particle tracking software - by Bioz Stars, 2026-09
    90/100 stars

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    1) Product Images from "Rapid Fabrication of Low-Cost Thermal Bubble-Driven Micro-Pumps"

    Article Title: Rapid Fabrication of Low-Cost Thermal Bubble-Driven Micro-Pumps

    Journal: Micromachines

    doi: 10.3390/mi13101634

    Particle Tracking Process—describes the particle tracking process. ( a ) shows a dry milli-channel of cross-section A = 515 × 315 μ m 2 and length L = 13.268 mm with a 300 × 700 μ m 2 TMP resistor placed 1027 μ m from the reservoir edge. ( b ) shows neutrally buoyant micro-spheres with a diameter of D = 27–32 μ m in a channel filled with water. A MATLAB implementation of the interactive data language, IDL, particle tracking software is used to mark particles ( c ) and link particle movement into trajectories ( d ). Particle trajectories are colored in accordance to average velocity in which the fastest moving particles (shown in yellow with a velocity of 19.2 μ m/pulse) are near the center of the channel while the slowest (shown in blue with a velocity of less than 1 μ m/pulse) are towards the walls.
    Figure Legend Snippet: Particle Tracking Process—describes the particle tracking process. ( a ) shows a dry milli-channel of cross-section A = 515 × 315 μ m 2 and length L = 13.268 mm with a 300 × 700 μ m 2 TMP resistor placed 1027 μ m from the reservoir edge. ( b ) shows neutrally buoyant micro-spheres with a diameter of D = 27–32 μ m in a channel filled with water. A MATLAB implementation of the interactive data language, IDL, particle tracking software is used to mark particles ( c ) and link particle movement into trajectories ( d ). Particle trajectories are colored in accordance to average velocity in which the fastest moving particles (shown in yellow with a velocity of 19.2 μ m/pulse) are near the center of the channel while the slowest (shown in blue with a velocity of less than 1 μ m/pulse) are towards the walls.

    Techniques Used: Software

    Related Articles

    Software:

    Article Title: Brain connectivity and socioeconomic status at birth and externalizing symptoms at age 2 years
    Article Snippet: .. These analyses were implemented using in-house software written in IDL (Harris Geospatial, Broomfield, CO) and Matlab (The Mathworks Inc., Natick, MA). ..

    Article Title: Rapid Fabrication of Low-Cost Thermal Bubble-Driven Micro-Pumps
    Article Snippet: .. A MATLAB implementation of the interactive data language, IDL, particle tracking software [ ] was used to identify and track particle movement. illustrates the particle tracking process. ..

    Article Title: Rapid Fabrication of Low-Cost Thermal Bubble-Driven Micro-Pumps.
    Article Snippet: .. A MATLAB implementation of the interactive data language, IDL, particle tracking software is used to mark particles (c) and link particle movement into trajectories (d). ..

    other:

    Article Title: A Modified Algorithm and Open-source Computational Package for the Determination of Infrared Optical Constants Relevant to Astrophysics
    Article Snippet: The current work seeks to solve this problem by providing not only our spectral data, but the complete, uncompiled Python computer code that is free to use, implement, and modify without the need for proprietary computer software such as IDL or MATLAB.

    Article Title: Characterizing the near-global cloud vertical structures over land using high-resolution radiosonde measurements
    Article Snippet: The codes were written by the first author in MATLAB (2018a version) and IDL (8.5 version).

    Article Title: Variability of noninvasive MRI and biological markers in compensated cirrhosis: insights for assessing disease progression
    Article Snippet: ASL analysis was performed using MATLAB (2014a, Natick, MA, USA) and/or IDL (version 8.0, Broomfield, CO, USA).

    Article Title: Investigation of three‐level NPC‐q Z S inverter‐based grid‐connected renewable energy system
    Article Snippet: The proposed IDL-damped-SOGI controller has been realised using MATLAB/Simulink.

    Article Title: Direct observation of coordinated DNA movements on the nucleosome during chromatin remodelling
    Article Snippet: Software and code Policy information about availability of computer code Data collection For data collection, ImageJ (Version 1.48) as well as MicroManager (Version 1.4.19) were used (both open source) Data analysis Data analysis was carried out with IDL (Version 8.7.0), ImageJ (Version 1.48), Excel for Mac 2011 and Matlab (R2014b) using their standard functions/modules.



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    Particle Tracking Process—describes the particle tracking process. ( a ) shows a dry milli-channel of cross-section A = 515 × 315 μ m 2 and length L = 13.268 mm with a 300 × 700 μ m 2 TMP resistor placed 1027 μ m from the reservoir edge. ( b ) shows neutrally buoyant micro-spheres with a diameter of D = 27–32 μ m in a channel filled with water. <t>A</t> <t>MATLAB</t> implementation of the interactive data language, <t>IDL,</t> particle tracking software is used to mark particles ( c ) and link particle movement into trajectories ( d ). Particle trajectories are colored in accordance to average velocity in which the fastest moving particles (shown in yellow with a velocity of 19.2 μ m/pulse) are near the center of the channel while the slowest (shown in blue with a velocity of less than 1 μ m/pulse) are towards the walls.
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    Particle Tracking Process—describes the particle tracking process. ( a ) shows a dry milli-channel of cross-section A = 515 × 315 μ m 2 and length L = 13.268 mm with a 300 × 700 μ m 2 TMP resistor placed 1027 μ m from the reservoir edge. ( b ) shows neutrally buoyant micro-spheres with a diameter of D = 27–32 μ m in a channel filled with water. <t>A</t> <t>MATLAB</t> implementation of the interactive data language, <t>IDL,</t> particle tracking software is used to mark particles ( c ) and link particle movement into trajectories ( d ). Particle trajectories are colored in accordance to average velocity in which the fastest moving particles (shown in yellow with a velocity of 19.2 μ m/pulse) are near the center of the channel while the slowest (shown in blue with a velocity of less than 1 μ m/pulse) are towards the walls.
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    Particle Tracking Process—describes the particle tracking process. ( a ) shows a dry milli-channel of cross-section A = 515 × 315 μ m 2 and length L = 13.268 mm with a 300 × 700 μ m 2 TMP resistor placed 1027 μ m from the reservoir edge. ( b ) shows neutrally buoyant micro-spheres with a diameter of D = 27–32 μ m in a channel filled with water. A MATLAB implementation of the interactive data language, IDL, particle tracking software is used to mark particles ( c ) and link particle movement into trajectories ( d ). Particle trajectories are colored in accordance to average velocity in which the fastest moving particles (shown in yellow with a velocity of 19.2 μ m/pulse) are near the center of the channel while the slowest (shown in blue with a velocity of less than 1 μ m/pulse) are towards the walls.

    Journal: Micromachines

    Article Title: Rapid Fabrication of Low-Cost Thermal Bubble-Driven Micro-Pumps

    doi: 10.3390/mi13101634

    Figure Lengend Snippet: Particle Tracking Process—describes the particle tracking process. ( a ) shows a dry milli-channel of cross-section A = 515 × 315 μ m 2 and length L = 13.268 mm with a 300 × 700 μ m 2 TMP resistor placed 1027 μ m from the reservoir edge. ( b ) shows neutrally buoyant micro-spheres with a diameter of D = 27–32 μ m in a channel filled with water. A MATLAB implementation of the interactive data language, IDL, particle tracking software is used to mark particles ( c ) and link particle movement into trajectories ( d ). Particle trajectories are colored in accordance to average velocity in which the fastest moving particles (shown in yellow with a velocity of 19.2 μ m/pulse) are near the center of the channel while the slowest (shown in blue with a velocity of less than 1 μ m/pulse) are towards the walls.

    Article Snippet: A MATLAB implementation of the interactive data language, IDL, particle tracking software [ ] was used to identify and track particle movement. illustrates the particle tracking process.

    Techniques: Software