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microscopy image analysis software  (Oxford Instruments)


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    Structured Review

    Oxford Instruments microscopy image analysis software
    ( A and B ) Schematic illustration of the basic YES logic gate governed by the integration of miR-21 and conformational signal. ( C ) Confocal <t>microscopy</t> imaging results of MCF-7 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( D ) Schematic illustration of the cascaded logic circuit triggered by miR-21 and miR-17. ( E ) Activation mechanism of cascaded logic gates under concurrent conformational signal input (binary state 1). ( F ) Confocal microscopy imaging results of CT26 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments).
    Microscopy Image Analysis Software, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 41025 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/microscopy image analysis software/product/Oxford Instruments
    Average 99 stars, based on 41025 article reviews
    microscopy image analysis software - by Bioz Stars, 2026-03
    99/100 stars

    Images

    1) Product Images from "Conformation-programmed DNA computing"

    Article Title: Conformation-programmed DNA computing

    Journal: Science Advances

    doi: 10.1126/sciadv.aec8383

    ( A and B ) Schematic illustration of the basic YES logic gate governed by the integration of miR-21 and conformational signal. ( C ) Confocal microscopy imaging results of MCF-7 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( D ) Schematic illustration of the cascaded logic circuit triggered by miR-21 and miR-17. ( E ) Activation mechanism of cascaded logic gates under concurrent conformational signal input (binary state 1). ( F ) Confocal microscopy imaging results of CT26 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments).
    Figure Legend Snippet: ( A and B ) Schematic illustration of the basic YES logic gate governed by the integration of miR-21 and conformational signal. ( C ) Confocal microscopy imaging results of MCF-7 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( D ) Schematic illustration of the cascaded logic circuit triggered by miR-21 and miR-17. ( E ) Activation mechanism of cascaded logic gates under concurrent conformational signal input (binary state 1). ( F ) Confocal microscopy imaging results of CT26 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments).

    Techniques Used: Confocal Microscopy, Imaging, Activation Assay

    ( A ) Architecture of the molecular neuron network. ( B ) Operational workflow of neuron computation comprising signal transduction, threshold verification, and signal activation. ( C ) Specific neuron computation conditions. ( D ) Confocal microscopy images showing distinct conformational signals (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( E ) Computational analysis of 25 distinct input combinations, incorporating six structural signal variants across a continuous threshold gradient (1x = 200 nM). ( F ) Confocal microscopy imaging analysis of different threshold values in MCF-7 cells (scale bars: 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( G ) Flow cytometry analysis of PD-L1 expression in MDA-MB-231 cells treated with molecular neuron networks under different structural signals.
    Figure Legend Snippet: ( A ) Architecture of the molecular neuron network. ( B ) Operational workflow of neuron computation comprising signal transduction, threshold verification, and signal activation. ( C ) Specific neuron computation conditions. ( D ) Confocal microscopy images showing distinct conformational signals (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( E ) Computational analysis of 25 distinct input combinations, incorporating six structural signal variants across a continuous threshold gradient (1x = 200 nM). ( F ) Confocal microscopy imaging analysis of different threshold values in MCF-7 cells (scale bars: 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( G ) Flow cytometry analysis of PD-L1 expression in MDA-MB-231 cells treated with molecular neuron networks under different structural signals.

    Techniques Used: Transduction, Activation Assay, Confocal Microscopy, Imaging, Flow Cytometry, Expressing



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    Oxford Instruments microscopy image analysis software
    ( A and B ) Schematic illustration of the basic YES logic gate governed by the integration of miR-21 and conformational signal. ( C ) Confocal <t>microscopy</t> imaging results of MCF-7 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( D ) Schematic illustration of the cascaded logic circuit triggered by miR-21 and miR-17. ( E ) Activation mechanism of cascaded logic gates under concurrent conformational signal input (binary state 1). ( F ) Confocal microscopy imaging results of CT26 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments).
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    Oxford Instruments interactive microscopy image analysis software
    ( A and B ) Schematic illustration of the basic YES logic gate governed by the integration of miR-21 and conformational signal. ( C ) Confocal <t>microscopy</t> imaging results of MCF-7 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( D ) Schematic illustration of the cascaded logic circuit triggered by miR-21 and miR-17. ( E ) Activation mechanism of cascaded logic gates under concurrent conformational signal input (binary state 1). ( F ) Confocal microscopy imaging results of CT26 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments).
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    Image Search Results


    ( A and B ) Schematic illustration of the basic YES logic gate governed by the integration of miR-21 and conformational signal. ( C ) Confocal microscopy imaging results of MCF-7 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( D ) Schematic illustration of the cascaded logic circuit triggered by miR-21 and miR-17. ( E ) Activation mechanism of cascaded logic gates under concurrent conformational signal input (binary state 1). ( F ) Confocal microscopy imaging results of CT26 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments).

    Journal: Science Advances

    Article Title: Conformation-programmed DNA computing

    doi: 10.1126/sciadv.aec8383

    Figure Lengend Snippet: ( A and B ) Schematic illustration of the basic YES logic gate governed by the integration of miR-21 and conformational signal. ( C ) Confocal microscopy imaging results of MCF-7 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( D ) Schematic illustration of the cascaded logic circuit triggered by miR-21 and miR-17. ( E ) Activation mechanism of cascaded logic gates under concurrent conformational signal input (binary state 1). ( F ) Confocal microscopy imaging results of CT26 cells (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments).

    Article Snippet: Quantitative image analysis was conducted using Imaris microscopy image analysis software.

    Techniques: Confocal Microscopy, Imaging, Activation Assay

    ( A ) Architecture of the molecular neuron network. ( B ) Operational workflow of neuron computation comprising signal transduction, threshold verification, and signal activation. ( C ) Specific neuron computation conditions. ( D ) Confocal microscopy images showing distinct conformational signals (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( E ) Computational analysis of 25 distinct input combinations, incorporating six structural signal variants across a continuous threshold gradient (1x = 200 nM). ( F ) Confocal microscopy imaging analysis of different threshold values in MCF-7 cells (scale bars: 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( G ) Flow cytometry analysis of PD-L1 expression in MDA-MB-231 cells treated with molecular neuron networks under different structural signals.

    Journal: Science Advances

    Article Title: Conformation-programmed DNA computing

    doi: 10.1126/sciadv.aec8383

    Figure Lengend Snippet: ( A ) Architecture of the molecular neuron network. ( B ) Operational workflow of neuron computation comprising signal transduction, threshold verification, and signal activation. ( C ) Specific neuron computation conditions. ( D ) Confocal microscopy images showing distinct conformational signals (scale bars, 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( E ) Computational analysis of 25 distinct input combinations, incorporating six structural signal variants across a continuous threshold gradient (1x = 200 nM). ( F ) Confocal microscopy imaging analysis of different threshold values in MCF-7 cells (scale bars: 20 μm; mean ± SD; n = 6 from biologically independent experiments). ( G ) Flow cytometry analysis of PD-L1 expression in MDA-MB-231 cells treated with molecular neuron networks under different structural signals.

    Article Snippet: Quantitative image analysis was conducted using Imaris microscopy image analysis software.

    Techniques: Transduction, Activation Assay, Confocal Microscopy, Imaging, Flow Cytometry, Expressing