matlab toolboxes fastfit  (MathWorks Inc)

Journal: Applied optics

Article Title: Computational method for the optimization of quasimonoenergetic Laser Compton X-ray sources for imaging applications

doi: 10.1364/AO.444307

Figure Lengend Snippet: Visualization of the rich angle-correlated X-ray spectrum of a simulated LCS output with a Compton edge (ECE) of 60 keV at observation angles (θx, θy) up to 5 mrad from the center of the beam profile. On the X-ray flux density plot (left), four regions of interest are highlighted with dashed lines. (a) The entire field of view, (b) a centered annulus, (c) the center, and (d) an off-center region of the LCS X-ray spectrum are highlighted, and the relative total flux and energy spectrum through these regions is illustrated (right). The LCS interaction parameters used to generate these plots are described in more detail in Section 2.1 and are assumed for all LCS X-ray distributions simulated in this paper.

Article Snippet: All Compton FastFit code was written and tested in MATLAB R2021a and can be accessed with explicit instructions on how to generate the data that will be presented and discussed in this paper [ 30 , 31 ].

Techniques:

Journal: Applied optics

Article Title: Computational method for the optimization of quasimonoenergetic Laser Compton X-ray sources for imaging applications

doi: 10.1364/AO.444307

Figure Lengend Snippet: Visualization of the change in shape of local X-ray distributions as a function of observation angle (θx) from an LCS interaction with a Compton edge (ECE) of 60 keV.

Article Snippet: All Compton FastFit code was written and tested in MATLAB R2021a and can be accessed with explicit instructions on how to generate the data that will be presented and discussed in this paper [ 30 , 31 ].

Techniques:

Journal: Applied optics

Article Title: Computational method for the optimization of quasimonoenergetic Laser Compton X-ray sources for imaging applications

doi: 10.1364/AO.444307

Figure Lengend Snippet: Comparison of FastFit interpolation and LCS code at two observation angles whose values are in mrad.

Article Snippet: All Compton FastFit code was written and tested in MATLAB R2021a and can be accessed with explicit instructions on how to generate the data that will be presented and discussed in this paper [ 30 , 31 ].

Techniques: Comparison

Journal: International Journal of Molecular Sciences

Article Title: Synthetic Human TLR9-LRR11 Peptide Attenuates TLR9 Signaling by Binding to and thus Decreasing Internalization of CpG Oligodeoxynucleotides

doi: 10.3390/ijms17020242

Figure Lengend Snippet: Synthetic peptide (SP) specifically binds ODN2006. ( A ) Binding curves generated by the IAsys biosensor. Biotinylated ODN2006 was immobilized on the surface of a streptavidin-coated cuvette. A series of concentration of SP (3.1, 6.3, 12.5, 25 or 50 μM) or unrelated peptide (URP) (50 μM) were added separately into the cuvette to generate the binding curves. Data were analyzed using FASTplot, and the dissociation equilibrium constant (K D ) of SP was calculated using FASTfit; ( B ) Binding curves generated by the Biacore biosensor. Biotinylated ODN2006 was immobilized on a streptavidin-coated chip, and then a series of concentrations of SP (0.63, 1.25, 2.5, 5 or 10 μM) or URP (10 μM) were loaded separately to generate the binding curves. Data analysis and K D calculation were performed using the BIAevaluation software.

Article Snippet: Binding curves were analyzed and visualized using FASTplot (Thermo), and the dissociation equilibrium constant (K D ) of SP with ODN2006 was calculated using FASTfit (Thermo).

Techniques: Binding Assay, Generated, Concentration Assay, Software