{"id":{"repo_id":"umkc","oai_identifier":"oai:mospace.umsystem.edu:10355/12437"},"canonical_url":"https://search.dev.ndltd.org/etd/umkc/oai:mospace.umsystem.edu:10355/12437","repository":{"repo_id":"umkc","name":"University of Missouri - Kansas City","base_url":"https://mospace.umsystem.edu/oai/request"},"display":{"title":"Deformation mapping of fibronectin fibrils using digital image correlation","abstract":"Bone cells produce large amounts of extracellular matrix (ECM) proteins that form a fibrillar scaffold on which bone mineral is deposited. Prior work has shown that fibronectin fibrils are one of the earliest ECM proteins to be assembled. Time lapse imaging techniques show that the deposition of fibronectin by osteoblasts is a highly dynamic process, in which the forming fibronectin fibril network is continually stretched, contracted and moved via the activity of motile cells. This study has developed an automated Digital Image Correlation based technique for determining the displacements and strains experienced by the fibrils during the assembly process. Fibril motion is tracked using a time lapse sequence of images and the motion kinematics are determined using an image cross-correlation method. The method is implemented in Matlab and compared to manual calculations. Furthermore, we have studied the motion of a set of 20 fibrils in order to predict fibril kinematics.","abstract_html":"Bone cells produce large amounts of extracellular matrix (ECM) proteins that form a fibrillar scaffold on which bone mineral is deposited. Prior work has shown that fibronectin fibrils are one of the earliest ECM proteins to be assembled. Time lapse imaging techniques show that the deposition of fibronectin by osteoblasts is a highly dynamic process, in which the forming fibronectin fibril network is continually stretched, contracted and moved via the activity of motile cells. This study has developed an automated Digital Image Correlation based technique for determining the displacements and strains experienced by the fibrils during the assembly process. Fibril motion is tracked using a time lapse sequence of images and the motion kinematics are determined using an image cross-correlation method. The method is implemented in Matlab and compared to manual calculations. Furthermore, we have studied the motion of a set of 20 fibrils in order to predict fibril kinematics.","abstract_has_math":false,"creators":["Roshan, Aditya"],"institution":"University of Missouri Kansas City","degree_name":"M.S.","degree_level":"Masters","degree_discipline":"Electrical Engineering (UMKC)","degree_department":null,"school":null,"contributors":[],"advisors":["Thiagarajan, Ganesh, 1963-"],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-01-09","date_published":"2012-01-09","updated_at":"2026-07-24T05:19:28Z","subjects":[],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10355/12437","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Thiagarajan, Ganesh, 1963-"]},{"key":"dc:creator","label":"Author","values":["Roshan, Aditya"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2012-01-09T18:28:34Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2012-01-09T18:28:34Z"]},{"key":"dc:date.issued","label":"Date","values":["2012-01-09"]},{"key":"dc:publisher","label":"Institution","values":["University of Missouri Kansas City"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering (UMKC)"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Missouri Kansas City"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10355/12437"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Title from PDF of title page, viewed on January 9, 2012","Thesis advisor: Ganesh Thiagarajan","Vita","Includes bibliographic references (p. 109-110)","Thesis (M.S.)--School of Computing and Engineering. University of Missouri Kansas City, 2012"]},{"key":"dc:description.abstract","label":"Abstract","values":["Bone cells produce large amounts of extracellular matrix (ECM) proteins that form a fibrillar scaffold on which bone mineral is deposited. Prior work has shown that fibronectin fibrils are one of the earliest ECM proteins to be assembled. Time lapse imaging techniques show that the deposition of fibronectin by osteoblasts is a highly dynamic process, in which the forming fibronectin fibril network is continually stretched, contracted and moved via the activity of motile cells. This study has developed an automated Digital Image Correlation based technique for determining the displacements and strains experienced by the fibrils during the assembly process. Fibril motion is tracked using a time lapse sequence of images and the motion kinematics are determined using an image cross-correlation method. The method is implemented in Matlab and compared to manual calculations. Furthermore, we have studied the motion of a set of 20 fibrils in order to predict fibril kinematics."]},{"key":"dc:title","label":"Title","values":["Deformation mapping of fibronectin fibrils using digital image correlation"]}]}],"canonical_facts":{"dc:contributor.advisor":["Thiagarajan, Ganesh, 1963-"],"dc:creator":["Roshan, Aditya"],"dc:date.accessioned":["2012-01-09T18:28:34Z"],"dc:date.available":["2012-01-09T18:28:34Z"],"dc:date.issued":["2012-01-09"],"dc:description":["Title from PDF of title page, viewed on January 9, 2012","Thesis advisor: Ganesh Thiagarajan","Vita","Includes bibliographic references (p. 109-110)","Thesis (M.S.)--School of Computing and Engineering. University of Missouri Kansas City, 2012"],"dc:description.abstract":["Bone cells produce large amounts of extracellular matrix (ECM) proteins that form a fibrillar scaffold on which bone mineral is deposited. Prior work has shown that fibronectin fibrils are one of the earliest ECM proteins to be assembled. Time lapse imaging techniques show that the deposition of fibronectin by osteoblasts is a highly dynamic process, in which the forming fibronectin fibril network is continually stretched, contracted and moved via the activity of motile cells. This study has developed an automated Digital Image Correlation based technique for determining the displacements and strains experienced by the fibrils during the assembly process. Fibril motion is tracked using a time lapse sequence of images and the motion kinematics are determined using an image cross-correlation method. The method is implemented in Matlab and compared to manual calculations. Furthermore, we have studied the motion of a set of 20 fibrils in order to predict fibril kinematics."],"dc:identifier.uri":["http://hdl.handle.net/10355/12437"],"dc:language.iso":["en_US"],"dc:publisher":["University of Missouri Kansas City"],"dc:title":["Deformation mapping of fibronectin fibrils using digital image correlation"],"dc:type":["Thesis"],"thesis:degree_discipline":["Electrical Engineering (UMKC)"],"thesis:degree_level":["Masters"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Missouri Kansas City"]},"updated_at":"2026-07-24T05:19:28Z"}