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deconvolution and photobleaching correction algorithms  (Softworx Inc)

 
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    Softworx Inc deconvolution and photobleaching correction algorithms
    Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. The application of <t>deconvolution</t> and equalization algorithms enables recovery of most details in underexposed images. In the example shown, a Kc cell stably expressing mEGFP-Mu2 and mCh-HP1a shows an overall enrichment of Mu2/Mdc1 signals inside the heterochromatin domain before IR (-IR), and damage foci associated with the heterochromatin domain at 10 min after IR (+IR) (Ryu et al., 2015). The signal has been collected first in underexposed conditions (5 ms for mCh and 20 ms for GFP, with 10% T), then in optimal imaging conditions (12 ms for mCh and 20 ms for GFP, with 100% T), for both time points as indicated. The noisy signal of raw underexposed images is significantly improved by post-image processing (deconvolution and equalization), revealing even the weak signals associated with small foci (arrowheads). Images are max intensity projections of one nucleus. Scale bar = 1μm.
    Deconvolution And Photobleaching Correction Algorithms, supplied by Softworx 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/deconvolution+and+photobleaching+correction+algorithms/deconvolution+and+photobleaching+correction+algorithms/pmc06021022-179-16-23
    Average 90 stars, based on 1 article reviews
    deconvolution and photobleaching correction algorithms - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Quantitative methods to investigate the 4D dynamics of heterochromatic repair sites in Drosophila cells"

    Article Title: Quantitative methods to investigate the 4D dynamics of heterochromatic repair sites in Drosophila cells

    Journal: Methods in enzymology

    doi: 10.1016/bs.mie.2017.11.033

    Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. The application of deconvolution and equalization algorithms enables recovery of most details in underexposed images. In the example shown, a Kc cell stably expressing mEGFP-Mu2 and mCh-HP1a shows an overall enrichment of Mu2/Mdc1 signals inside the heterochromatin domain before IR (-IR), and damage foci associated with the heterochromatin domain at 10 min after IR (+IR) (Ryu et al., 2015). The signal has been collected first in underexposed conditions (5 ms for mCh and 20 ms for GFP, with 10% T), then in optimal imaging conditions (12 ms for mCh and 20 ms for GFP, with 100% T), for both time points as indicated. The noisy signal of raw underexposed images is significantly improved by post-image processing (deconvolution and equalization), revealing even the weak signals associated with small foci (arrowheads). Images are max intensity projections of one nucleus. Scale bar = 1μm.
    Figure Legend Snippet: Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. The application of deconvolution and equalization algorithms enables recovery of most details in underexposed images. In the example shown, a Kc cell stably expressing mEGFP-Mu2 and mCh-HP1a shows an overall enrichment of Mu2/Mdc1 signals inside the heterochromatin domain before IR (-IR), and damage foci associated with the heterochromatin domain at 10 min after IR (+IR) (Ryu et al., 2015). The signal has been collected first in underexposed conditions (5 ms for mCh and 20 ms for GFP, with 10% T), then in optimal imaging conditions (12 ms for mCh and 20 ms for GFP, with 100% T), for both time points as indicated. The noisy signal of raw underexposed images is significantly improved by post-image processing (deconvolution and equalization), revealing even the weak signals associated with small foci (arrowheads). Images are max intensity projections of one nucleus. Scale bar = 1μm.

    Techniques Used: Stable Transfection, Expressing, Imaging

    Related Articles

    Stable Transfection:

    Article Title: Quantitative methods to investigate the 4D dynamics of heterochromatic repair sites in Drosophila cells
    Article Snippet: we use 10% T and a target intensity of 200 and 600 counts (approximately 5 and 15 msec) for mCh-HP1a and mEGFP-Mu2/Mdc1, respectively. .. This results in underexposing the image, but most image details can be recovered post-imaging by optimized deconvolution and photobleaching correction algorithms available in SoftWorX ( and Section 1.5 of this protocol). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 caption a8 Image details in underexposed samples are recovered with post-image processing Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. .. The application of deconvolution and equalization algorithms enables recovery of most details in underexposed images.

    Expressing:

    Article Title: Quantitative methods to investigate the 4D dynamics of heterochromatic repair sites in Drosophila cells
    Article Snippet: we use 10% T and a target intensity of 200 and 600 counts (approximately 5 and 15 msec) for mCh-HP1a and mEGFP-Mu2/Mdc1, respectively. .. This results in underexposing the image, but most image details can be recovered post-imaging by optimized deconvolution and photobleaching correction algorithms available in SoftWorX ( and Section 1.5 of this protocol). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 caption a8 Image details in underexposed samples are recovered with post-image processing Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. .. The application of deconvolution and equalization algorithms enables recovery of most details in underexposed images.

    Imaging:

    Article Title: Quantitative methods to investigate the 4D dynamics of heterochromatic repair sites in Drosophila cells
    Article Snippet: we use 10% T and a target intensity of 200 and 600 counts (approximately 5 and 15 msec) for mCh-HP1a and mEGFP-Mu2/Mdc1, respectively. .. This results in underexposing the image, but most image details can be recovered post-imaging by optimized deconvolution and photobleaching correction algorithms available in SoftWorX ( and Section 1.5 of this protocol). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 caption a8 Image details in underexposed samples are recovered with post-image processing Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. .. The application of deconvolution and equalization algorithms enables recovery of most details in underexposed images.

    Software:

    Article Title: Quantitative methods to investigate the 4D dynamics of heterochromatic repair sites in Drosophila cells
    Article Snippet: we use 10% T and a target intensity of 200 and 600 counts (approximately 5 and 15 msec) for mCh-HP1a and mEGFP-Mu2/Mdc1, respectively. .. This results in underexposing the image, but most image details can be recovered post-imaging by optimized deconvolution and photobleaching correction algorithms available in SoftWorX ( and Section 1.5 of this protocol). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 caption a8 Image details in underexposed samples are recovered with post-image processing Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. .. The application of deconvolution and equalization algorithms enables recovery of most details in underexposed images.



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    deconvolution and photobleaching correction algorithms  (Softworx Inc)
    90
    Softworx Inc deconvolution and photobleaching correction algorithms
    Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. The application of <t>deconvolution</t> and equalization algorithms enables recovery of most details in underexposed images. In the example shown, a Kc cell stably expressing mEGFP-Mu2 and mCh-HP1a shows an overall enrichment of Mu2/Mdc1 signals inside the heterochromatin domain before IR (-IR), and damage foci associated with the heterochromatin domain at 10 min after IR (+IR) (Ryu et al., 2015). The signal has been collected first in underexposed conditions (5 ms for mCh and 20 ms for GFP, with 10% T), then in optimal imaging conditions (12 ms for mCh and 20 ms for GFP, with 100% T), for both time points as indicated. The noisy signal of raw underexposed images is significantly improved by post-image processing (deconvolution and equalization), revealing even the weak signals associated with small foci (arrowheads). Images are max intensity projections of one nucleus. Scale bar = 1μm.
    Deconvolution And Photobleaching Correction Algorithms, supplied by Softworx 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/deconvolution+and+photobleaching+correction+algorithms/deconvolution+and+photobleaching+correction+algorithms/pmc06021022-179-16-23
    Average 90 stars, based on 1 article reviews
    deconvolution and photobleaching correction algorithms - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. The application of deconvolution and equalization algorithms enables recovery of most details in underexposed images. In the example shown, a Kc cell stably expressing mEGFP-Mu2 and mCh-HP1a shows an overall enrichment of Mu2/Mdc1 signals inside the heterochromatin domain before IR (-IR), and damage foci associated with the heterochromatin domain at 10 min after IR (+IR) (Ryu et al., 2015). The signal has been collected first in underexposed conditions (5 ms for mCh and 20 ms for GFP, with 10% T), then in optimal imaging conditions (12 ms for mCh and 20 ms for GFP, with 100% T), for both time points as indicated. The noisy signal of raw underexposed images is significantly improved by post-image processing (deconvolution and equalization), revealing even the weak signals associated with small foci (arrowheads). Images are max intensity projections of one nucleus. Scale bar = 1μm.

    Journal: Methods in enzymology

    Article Title: Quantitative methods to investigate the 4D dynamics of heterochromatic repair sites in Drosophila cells

    doi: 10.1016/bs.mie.2017.11.033

    Figure Lengend Snippet: Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching. The application of deconvolution and equalization algorithms enables recovery of most details in underexposed images. In the example shown, a Kc cell stably expressing mEGFP-Mu2 and mCh-HP1a shows an overall enrichment of Mu2/Mdc1 signals inside the heterochromatin domain before IR (-IR), and damage foci associated with the heterochromatin domain at 10 min after IR (+IR) (Ryu et al., 2015). The signal has been collected first in underexposed conditions (5 ms for mCh and 20 ms for GFP, with 10% T), then in optimal imaging conditions (12 ms for mCh and 20 ms for GFP, with 100% T), for both time points as indicated. The noisy signal of raw underexposed images is significantly improved by post-image processing (deconvolution and equalization), revealing even the weak signals associated with small foci (arrowheads). Images are max intensity projections of one nucleus. Scale bar = 1μm.

    Article Snippet: This results in underexposing the image, but most image details can be recovered post-imaging by optimized deconvolution and photobleaching correction algorithms available in SoftWorX ( and Section 1.5 of this protocol). fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 caption a8 Image details in underexposed samples are recovered with post-image processing Underexposure of the cells enables the long and frequent image collection required for focus tracking while minimizing cell damage and photobleaching.

    Techniques: Stable Transfection, Expressing, Imaging