Abstract:
A method for positive emission tomography (PET) target image segmentation is provided. The method comprises capturing and digitizing image data of a selected target, determining an initial concentration ratio based on an initial source background ratio and an initial volume estimate of the selected target employing a concentration ratio table, determining a desired threshold from the initial concentration ratio and the initial volume estimate employing a threshold table, and determining a final volume estimate of the selected target based on the determined desired threshold.
Abstract:
The present invention generally relates to various peptides and particles, for example, for use in screening of particle- or bead-based peptide libraries. In one aspect, the present invention is generally directed to articles including peptides attached to one or more particles, which may have structures such as (particle)-M-Q-Zn-X-J, (particle)-M-Q-Zn—X1—X2—X3—X4—X5-J, (particle)-M-R—Zn—X1—X2—X3—X4—X5-J, (particle)-M-R—X1—X2—X3—X4—X5Zn-Q-J, (particle)-M-X1—X2—X—3X4—X5—Zn—R-J, etc., where M is a methionine residue, M1 is a cleavable linker residue, Q is a group able to enhance intensity and/or sensitivity of mass spectrometry, X comprises one or more amino acid residues, n is a positive integer, Z is a covalent bond or a spacer, and J is an end-group. In some embodiments, the spacer may comprise a structure such as:(I). Other aspects of the present invention generally relate to methods of using such articles, e.g., by exposing the article to a target molecule such as a protein, for example, for use in screening of particle-based peptide libraries. Still other aspects of the present invention generally relate to methods of making such articles, methods of promoting such articles, kits involving such articles, or the like.
Abstract:
A method for positive emission tomography (PET) target image segmentation is provided. The method comprises capturing and digitizing image data of a selected target, determining an initial concentration ratio based on an initial source background ratio and an initial volume estimate of the selected target employing a concentration ratio table, determining a desired threshold from the initial concentration ratio and the initial volume estimate employing a threshold table, and determining a final volume estimate of the selected target based on the determined desired threshold.