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deltavision spectristm model dv4tm deconvolution microscope  (Applied Precision Inc)

 
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    Applied Precision Inc deltavision spectristm model dv4tm deconvolution microscope
    Deltavision Spectristm Model Dv4tm Deconvolution Microscope, supplied by Applied Precision 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+model/deltavision+microscope/us11260089-460-9-15
    Average 90 stars, based on 1 article reviews
    deltavision spectristm model dv4tm deconvolution microscope - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Products of manufacture comprising bacteriophages
    Article Snippet: Movies were captured using SOFTWORX® 5.0.0 (Applied Precision, Issaquah, Wash.); 100 ms temporal resolution for 30 s; ten analyses per sample; n>100 particle trajectories per analysis.

    Article Title: Methods for treating microbial infections using caudovirales bacteriophages
    Article Snippet: Trajectories of fluorescently labelled phage were observed using a DELTAVISION SPECTRISTM Model DV4TM deconvolution microscope (Applied Precision, Issaquah, WA) equipped with a 100× Olympus PLANAPO 1.4TM lens.

    Microscopy:

    Article Title: Connexin-specific distribution within gap junctions revealed in living cells.
    Article Snippet: .. Deconvolution microscopy and image processing To obtain high-resolution images and three-dimensional volume reconstructions of gap junctions in live cells a deconvolution microscope system (DeltaVision Model 283, Applied Precision Inc., Issaquah, WA, USA) was implemented. .. DeltaVision’s deconvolution process computationally reassigns the fluorescent blur generated by out-of-focus fluorescence and lens aberration to its source using an inverse matrix algorithm, namely the constrained iteration method developed by Agard and Sedat (Agard et al., 1989) to noticeably enhance the resolution of the images (see Shaw, 1998; Falk and Lauf, 2000, for methodology reviews).

    Article Title: Histone H1 is essential for mitotic chromosome architecture and segregation in Xenopus laevis egg extracts
    Article Snippet: .. Spindle images shown in A were acquired using a deconvolution microscope (model DeltaVision Spectris DV4; Applied Precision Inc.) featuring API Softworx and SVI Huygens deconvolution software. ..

    Article Title: Expression of fluorescently tagged connexins: a novel approach to rescue function of oligomeric DsRed-tagged proteins.
    Article Snippet: A novel, brilliantly red fluorescent protein, DsRed has become available recently opening up a wide variety of experimental opportunities for double labeling and fluorescence resonance electron transfer experiments in combination with green fluorescent protein (GFP).. Unlike in the case of GFP, proteins tagged with DsRed were often found to aggregate within the cell.. Here we report a simple method that allows rescuing the function of an oligomeric protein tagged with DsRed.

    Software:

    Article Title: Histone H1 is essential for mitotic chromosome architecture and segregation in Xenopus laevis egg extracts
    Article Snippet: .. Spindle images shown in A were acquired using a deconvolution microscope (model DeltaVision Spectris DV4; Applied Precision Inc.) featuring API Softworx and SVI Huygens deconvolution software. ..



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    Deltavision Spectristm Model Dv4tm Deconvolution Microscope, supplied by Applied Precision Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 90 stars, based on 1 article reviews
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    Image Search Results


    A flow chart illustrating the complete noise correction process for blood flow (BF) measurements, including evaluation using digital perfusion phantom (DPP) (starting from the first block) and evaluation using a clinical dataset (starting from the second block). For the DPP analysis, each GTBF value is simulated using two independent sets of 576 noise-impacted TACs, resulting in BF1 and BF2 estimates for random error calculation. This process is repeated for 28 GTBF values, totaling 16,128 TACs. For the clinical dataset, patient BF values calculated using the deconvolution model from Mayer’s study were used as input for the noise-impacted BF maps. BFD represents the noise-impacted BF measurements, which need to be corrected. IRF is the impulse response function, AIF is the arterial input function, TAC represents the tissue attenuation curve, and GTBF is the ground-truth blood flow. BFD corr (i) represents the noise-corrected BF measurement for the i th iteration. The random error and model error calculations are also shown in the flow chart. This iterative process for DPP continues until BFD corr aligns with GTBF or until the error between GTBF and corrected measurements is minimized to an acceptable threshold.

    Journal: Scientific Reports

    Article Title: Model based noise correction enhances the accuracy of pancreatic CT perfusion blood flow measurements

    doi: 10.1038/s41598-025-24482-x

    Figure Lengend Snippet: A flow chart illustrating the complete noise correction process for blood flow (BF) measurements, including evaluation using digital perfusion phantom (DPP) (starting from the first block) and evaluation using a clinical dataset (starting from the second block). For the DPP analysis, each GTBF value is simulated using two independent sets of 576 noise-impacted TACs, resulting in BF1 and BF2 estimates for random error calculation. This process is repeated for 28 GTBF values, totaling 16,128 TACs. For the clinical dataset, patient BF values calculated using the deconvolution model from Mayer’s study were used as input for the noise-impacted BF maps. BFD represents the noise-impacted BF measurements, which need to be corrected. IRF is the impulse response function, AIF is the arterial input function, TAC represents the tissue attenuation curve, and GTBF is the ground-truth blood flow. BFD corr (i) represents the noise-corrected BF measurement for the i th iteration. The random error and model error calculations are also shown in the flow chart. This iterative process for DPP continues until BFD corr aligns with GTBF or until the error between GTBF and corrected measurements is minimized to an acceptable threshold.

    Article Snippet: All evaluations in this study were performed using a commercial deconvolution model (syngo.via, Siemens Healthineers) with fixed reconstruction parameters such as slice thickness, reconstruction kernel, and matrix size selected to reflect standard clinical CTp practice.

    Techniques: Blocking Assay