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greyscale images  (MathWorks Inc)


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    MathWorks Inc greyscale images
    Greyscale Images, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2947 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/greyscale+images/Image+Processing+Toolbox/10__1016_slash_j__fbp__2026__03__023-73-6-8
    Average 96 stars, based on 2947 article reviews
    greyscale images - by Bioz Stars, 2026-10
    96/100 stars

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    Related Articles

    other:

    Article Title: Actin Filaments Couple the Protrusive Tips to the Nucleus through the I-BAR Domain Protein IRSp53 during the Migration of Cells on 1D Fibers.
    Article Snippet: The cell migration cycle, well-established in 2D, proceeds with forming new protrusive structures at the cell membrane and subsequent redistribution of contractile machinery.. Three-dimensional (3D) environments are complex and composed of 1D fibers, and 1D fibers are shown to recapitulate essential features of 3D migration.. However, the establishment of protrusive activity at the cell membrane and contractility in 1D fibrous environments remains partially understood.

    Article Title: Principal Component Analysis: Resources for an Essential Application of Linear Algebra
    Article Snippet: MATLAB considers greyscale images like this as objects consisting of two portions - a matrix of pixels and a colormap.

    Article Title: SEM/EDX and Raman chemical imaging of pharmaceutical tablets: A comparison of tablet surface preparation and analysis methods.
    Article Snippet: A better understanding of a pharmaceutical tablet’s microstructure has the potential to unlock the black box between material attributes, process parameters and the critical quality attributes.. Microstructure determination requires measuring the spatial-, particle size-distributions (absolute and relative) of the ingredients, and the void space, which is the overt goal of chemical Imaging (CI).. Reliable quantitative results can be obtained by imaging multiple layers per tablet, with each layer having a minimal surface roughness.

    Article Title: Effect of surface properties on the adsorption of soil from a simulated reused detergent suspension
    Article Snippet: With an increased emphasis on sustainability, solutions are being trialled to reduce water consumption.. This work determined the amount of peanut butter deposited/absorbed from a reused detergent suspension onto stainless steel or high-density polyethylene (HDPE).. The results demonstrated that the underlying surface properties influenced the findings, with significantly more organic deposition on stainless steel (3.2%-21.1%) compared to HDPE (0.3%-1.3%) surfaces.



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    Figure 1. Experimental protocol. (a-d) Different definition levels of the caustic animations. (a) Control (same-intensity greyscale image). (b) Low definition. (c) Medium definition. (d) High definition. (e-f) Schematic diagram of the experimental design. (e) Top view. (f) Frontal view. The brown line at the tank bottom in (f) depicts the printed photographs of a homogeneous sediment sample. C ¼ Camera; G ¼ Grass (artificial turf); P ¼ Projector; T ¼ Tubes, used to introduce prey items. (g) Timeline for any of the 12 caustic playbacks. All caustic playbacks started with a 10 min long greyscale acclimatization period, followed by a 30 s long transition (T) period inducing an 11 min long segment with the corresponding caustic condition. The shrimp was introduced into the tank after 11 min 30 s (blue dashed line), resulting in a 10 min period for the cuttlefish to catch the shrimp under a caustic stimulus. (h) Timeline for the control playback. This playback consisted entirely of a greyscale image displayed throughout the trial.

    Journal: Animal Behaviour

    Article Title: Visual noise from caustic flicker does not affect the hunting success of cuttlefish

    doi: 10.1016/j.anbehav.2023.06.002

    Figure Lengend Snippet: Figure 1. Experimental protocol. (a-d) Different definition levels of the caustic animations. (a) Control (same-intensity greyscale image). (b) Low definition. (c) Medium definition. (d) High definition. (e-f) Schematic diagram of the experimental design. (e) Top view. (f) Frontal view. The brown line at the tank bottom in (f) depicts the printed photographs of a homogeneous sediment sample. C ¼ Camera; G ¼ Grass (artificial turf); P ¼ Projector; T ¼ Tubes, used to introduce prey items. (g) Timeline for any of the 12 caustic playbacks. All caustic playbacks started with a 10 min long greyscale acclimatization period, followed by a 30 s long transition (T) period inducing an 11 min long segment with the corresponding caustic condition. The shrimp was introduced into the tank after 11 min 30 s (blue dashed line), resulting in a 10 min period for the cuttlefish to catch the shrimp under a caustic stimulus. (h) Timeline for the control playback. This playback consisted entirely of a greyscale image displayed throughout the trial.

    Article Snippet: Spectral irradiance (mW/cm2 per nm) of the 12 caustic playbacks as well as the control greyscale image (uint8 value 1⁄4 87), measured with a spectrometer (USB2000) coupled to a 400 mm bare optic fibre (R400-7-UV-VIS) and calibrated using a calibrated light source (DH-2000; all Ocean Insight, Orlando, FL, U.S.A.) Figure A2.

    Techniques: Control, Introduce