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pattern recognition software  (Carl Zeiss)


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    Structured Review

    Carl Zeiss pattern recognition software
    Pattern Recognition Software, supplied by Carl Zeiss, 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/recognition/iris+recognition+software/pmc02829079-69-12-15
    Average 90 stars, based on 1 article reviews
    pattern recognition software - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    Software:

    Article Title: Dielectrophoretic characterization of erythrocytes: positive ABO blood types.
    Article Snippet: Dielectrophoretic manipulation of erythrocytes/red blood cells is investigated as a tool to identify blood type for medical diagnostic applications.. Positive blood types of the ABO typing system (A1, B1, AB1 and O1) were tested and cell responses quantified.. The dielectrophoretic response of each blood type was observed in a platinum electrode microdevice, delivering a field of 0.025Vpp/mm at 1 MHz.

    Article Title: Evaluation of hypopigmentation in embryonic zebrafish induced by emerging disinfection byproduct, 3, 5-di-I-tyrosylalanine.
    Article Snippet: Halogenated dipeptides, 3, 5-di-I-tyrosylalanine (DIYA), have been identified as novel disinfection byproducts (DBPs), following chloramination of authentic water.. However, little is known about their toxicity.. Zebrafish embryos were used to assess the toxicity of novel iodinated DBPs (I-DBPs).

    Article Title: Angiogenic Factors Stimulate Growth of Adult Neural Stem Cells
    Article Snippet: .. Immunohistochemistry with an antibody against a pan-endothelial marker (RECA-1) and quantitation by pattern recognition software (Zeiss Axiovision) confirmed a marked increase in the density of blood vessels in CT - treated striatal explants ( ). ..

    other:

    Article Title: Astigmatism correction: Laser in situ keratomileusis versus posterior chamber collagen copolymer toric phakic intraocular lens implantation.
    Article Snippet: METHODS: Consecutive patients who had Implantable Collamer Lens pIOL implantation or LASIK were divided into 3 subgroups according to the amount of refractive cylinder correction (low, 0.00 to 1.25 diopters [D]; moderate, 1.50 to 2.75 D; high, R3.00 D).. Manifest refraction was measured preoperatively and 1, 3, 6, and 12 months postoperatively.. Based on these data, the predictability and stability of the refractive cylinder correction, error of the refractive cylinder correction, and error of the refractive cylinder correction axis were evaluated.

    Immunohistochemistry:

    Article Title: Angiogenic Factors Stimulate Growth of Adult Neural Stem Cells
    Article Snippet: .. Immunohistochemistry with an antibody against a pan-endothelial marker (RECA-1) and quantitation by pattern recognition software (Zeiss Axiovision) confirmed a marked increase in the density of blood vessels in CT - treated striatal explants ( ). ..

    Marker:

    Article Title: Angiogenic Factors Stimulate Growth of Adult Neural Stem Cells
    Article Snippet: .. Immunohistochemistry with an antibody against a pan-endothelial marker (RECA-1) and quantitation by pattern recognition software (Zeiss Axiovision) confirmed a marked increase in the density of blood vessels in CT - treated striatal explants ( ). ..

    Quantitation Assay:

    Article Title: Angiogenic Factors Stimulate Growth of Adult Neural Stem Cells
    Article Snippet: .. Immunohistochemistry with an antibody against a pan-endothelial marker (RECA-1) and quantitation by pattern recognition software (Zeiss Axiovision) confirmed a marked increase in the density of blood vessels in CT - treated striatal explants ( ). ..



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    Mendeley Ltd data fire recognition image dataset
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    Mendeley Ltd data bangla meder bangla medical entity recognition dataset
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    Image Search Results


    The four categories of image samples included in the Fire Recognition Image Dataset . Top row: (a) Fire – images showing active flames; (b) Smoke – images containing visible smoke plumes. Bottom row: (c) Safe Fire – non-hazardous scenes such as candles or stoves; (d) Artificial Fire – simulated or decorative fire displays.

    Journal: Data in Brief

    Article Title: An open-access fire detection image dataset for research in computer vision and safety monitoring

    doi: 10.1016/j.dib.2026.112801

    Figure Lengend Snippet: The four categories of image samples included in the Fire Recognition Image Dataset . Top row: (a) Fire – images showing active flames; (b) Smoke – images containing visible smoke plumes. Bottom row: (c) Safe Fire – non-hazardous scenes such as candles or stoves; (d) Artificial Fire – simulated or decorative fire displays.

    Article Snippet: Mendeley Data Fire Recognition Image Dataset (Original data)

    Techniques:

    Workflow illustrating the step-by-step process for generating the Fire Recognition Image Dataset, from video selection to dataset organization and augmentation.

    Journal: Data in Brief

    Article Title: An open-access fire detection image dataset for research in computer vision and safety monitoring

    doi: 10.1016/j.dib.2026.112801

    Figure Lengend Snippet: Workflow illustrating the step-by-step process for generating the Fire Recognition Image Dataset, from video selection to dataset organization and augmentation.

    Article Snippet: Mendeley Data Fire Recognition Image Dataset (Original data)

    Techniques: Selection