{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nicolson F"],"funding":["Dana-Farber Cancer Institute","Cancer Research UK","Mark Foundation For Cancer Research","National Cancer Institute","NCI NIH HHS","Texas A and M University","National Science Foundation"],"pagination":["7"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11210722"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["2(1)"],"pubmed_abstract":["In the field of optical imaging, the ability to image tumors at depth with high selectivity and specificity remains a challenge. Surface enhanced resonance Raman scattering (SERRS) nanoparticles (NPs) can be employed as image contrast agents to specifically target cells in vivo; however, this technique typically requires time-intensive point-by-point acquisition of Raman spectra. Here, we combine the use of \"spatially offset Raman spectroscopy\" (SORS) with that of SERRS in a technique known as \"surface enhanced spatially offset resonance Raman spectroscopy\" (SESORRS) to image deep-seated tumors in vivo. Additionally, by accounting for the laser spot size, we report an experimental approach for detecting both the bulk tumor, subsequent delineation of tumor margins at high speed, and the ide"],"journal":["Npj imaging"],"pubmed_title":["In vivo imaging using surface enhanced spatially offset raman spectroscopy (SESORS): balancing sampling frequency to improve overall image acquisition."],"pmcid":["PMC11210722"],"funding_grant_id":["K99CA266921","Claudia Adams Barr Award","SPECIFICANCER","Start-up funds","R00 CA266921","R25 CA174650","1648451","5R25CA174650","K99 CA266921","DFCI start up funds"],"pubmed_authors":["Yang J","Burkhart DL","Cameron A","Rudder S","Lee E","O'Donnell B","Andreiuk B","Riepl N","Mabbott S","Protti A","Whitley A","Nicolson F","Haigis KM"],"additional_accession":[]},"is_claimable":false,"name":"In vivo imaging using surface enhanced spatially offset raman spectroscopy (SESORS): balancing sampling frequency to improve overall image acquisition.","description":"In the field of optical imaging, the ability to image tumors at depth with high selectivity and specificity remains a challenge. Surface enhanced resonance Raman scattering (SERRS) nanoparticles (NPs) can be employed as image contrast agents to specifically target cells in vivo; however, this technique typically requires time-intensive point-by-point acquisition of Raman spectra. Here, we combine the use of \"spatially offset Raman spectroscopy\" (SORS) with that of SERRS in a technique known as \"surface enhanced spatially offset resonance Raman spectroscopy\" (SESORRS) to image deep-seated tumors in vivo. Additionally, by accounting for the laser spot size, we report an experimental approach for detecting both the bulk tumor, subsequent delineation of tumor margins at high speed, and the ide","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2026-05-29T20:05:04.568Z","creation":"2025-04-19T18:35:43.112Z"},"accession":"S-EPMC11210722","cross_references":{"pubmed":["38939049"],"doi":["10.1038/s44303-024-00011-9"]}}