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simca model with 2 nd derivative data deconvolution on pirouette software  (Infometrix Inc)

 
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    Infometrix Inc simca model with 2 nd derivative data deconvolution on pirouette software
    Simca Model With 2 Nd Derivative Data Deconvolution On Pirouette Software, supplied by Infometrix 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/simca+model+with+2+nd+derivative+data+deconvolution+on+pirouette+software/pmc10657999-110-18-21
    Average 90 stars, based on 1 article reviews
    simca model with 2 nd derivative data deconvolution on pirouette software - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Milk phospholipids protect Bifidobacterium longum subsp. infantis during in vitro digestion and enhance polysaccharide production
    Article Snippet: The spectra of samples between 4,000 and 700 cm −1 were recorded using the MicroLab software (Agilent) using a resolution of 4 cm −1 and 128 scans. .. The spectra obtained were classified and analyzed using a SIMCA model with 2 nd derivative data deconvolution on Pirouette software V4.5 (Infometrix Inc., Woodville, WA). ..



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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