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interactive data language-based software  (Philips Healthcare)

 
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    Philips Healthcare interactive data language-based software
    Interactive Data Language Based Software, supplied by Philips Healthcare, 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/interactive+data+language+based+software/pmc07854671-156-9-13
    Average 90 stars, based on 1 article reviews
    interactive data language-based software - by Bioz Stars, 2026-09
    90/100 stars

    Images

    Related Articles

    Diffusion-based Assay:

    Article Title: Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
    Article Snippet: All ASL images were transferred and analyzed using the interactive data language-based software (Philips Research Integrated Development Environment; Philips Healthcare).

    Article Title: Intravoxel Incoherent Motion in Normal Pituitary Gland: Initial Study with Turbo Spin-Echo Diffusion-Weighted Imaging
    Article Snippet: The pseudo-diffusion coefficient D* represents the incoherent molecular translation of water within flowing blood when that blood flow changes capillary segments several times during the TE and thereby mimics the random walk of the diffusion process.1 The signal decay was fitted in a step on a voxel-by-voxel basis to create each parameter map of D, f, and D* by using an Interactive Data Language-based software (Philips Research Integrated Development Environment; Philips Healthcare).

    Software:

    Article Title: Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
    Article Snippet: All ASL images were transferred and analyzed using the interactive data language-based software (Philips Research Integrated Development Environment; Philips Healthcare).

    Article Title: Intravoxel Incoherent Motion in Normal Pituitary Gland: Initial Study with Turbo Spin-Echo Diffusion-Weighted Imaging
    Article Snippet: The pseudo-diffusion coefficient D* represents the incoherent molecular translation of water within flowing blood when that blood flow changes capillary segments several times during the TE and thereby mimics the random walk of the diffusion process.1 The signal decay was fitted in a step on a voxel-by-voxel basis to create each parameter map of D, f, and D* by using an Interactive Data Language-based software (Philips Research Integrated Development Environment; Philips Healthcare).



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    Image Search Results


    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