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homemade software based on  (MathWorks Inc)


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    MathWorks Inc homemade software based on
    Homemade Software Based On, supplied by MathWorks 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/homemade+software+based+on/pmc11880264-78-4-28
    Average 90 stars, based on 1 article reviews
    homemade software based on - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Preliminary quantitative analysis of renal sinus fat dysfunction in T2DM patients using MRI fat fraction and R2* mapping
    Article Snippet: Finally, the RSF volume, FF and R2* of the right and left kidneys and the mean values of both sides were automatically calculated using homemade software based on MATLAB (MATLAB R2018a).

    Article Title: Hyperspectral multiplex single-particle tracking of different receptor subtypes labeled with quantum dots in live neurons
    Article Snippet: 2.3 Receptor Tracking and Analysis The tracking of single QDs was performed with a homemade software based on MATLAB® (Mathworks Inc., Natick, Massachusetts).

    Article Title: Anti-Cancer Drug Sensitivity Assay with Quantitative Heterogeneity Testing Using Single-Cell Raman Spectroscopy
    Article Snippet: RSI data processing was performed using a homemade software based on MATLAB (The MathWorks, Inc., Natick, MA, USA).



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    Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on OpenNanopore to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.

    Journal: Scientific Reports

    Article Title: Calling the amino acid sequence of a protein/peptide from the nanospectrum produced by a sub-nanometer diameter pore

    doi: 10.1038/s41598-022-22305-x

    Figure Lengend Snippet: Overall scheme of nanospectral data analysis. Raw current blockade signals stored in ABFs are analyzed by a homemade software package based on OpenNanopore to extract nanospectra, which are filtered to remove those with short duration times. The orientations of nanospectra are determined by comparing original and flipped empirical nanospectra with the theoretical nanospectra of the peptide, and backward empirical nanospectra are flipped. The averaging or progressive alignment method is employed to generate a consensus empirical nanospectrum. A theoretical nanospectrum is generated using the 1AAV or 1AAV-P model. Finally, the empirical consensus nanospectrum is aligned with the theoretical nanospectrum using DTW to find an alignment between the two nanospectra, and the PCC of the aligned nanospectra is computed.

    Article Snippet: The nanospectra in ABFs were extracted using a homemade MATLAB software package based on OpenNanopore (version 1.2) .

    Techniques: Software, Generated