2026-10-14T07:48:13Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33815578 2026-09-15T18:08:10Z portal_1197 item_type_3 month_year_09_2026

Data for Improved 3D localisation of multiple small objects in close-proximity in digital holography Matthew Hall (736847) Philip J. McCall (8688231) Catherine E. Towers (3943568) David P. Towers (3943571) Holography -- Data processing Image processing -- Digital techniques Three-dimensional imaging Migrated from ePrints Using intensity gradient based or sparsity based focus metrics, the ability to accurately localize the 3D position of a small object in a digital holographic reconstruction of a large field of view is hindered in the presence of multiple nearby objects. A more accurate alternative method for 3D localization, based on evaluation of the complex reconstructed volume, is proposed. Simulations and experimental data demonstrate a reduction in depth positional error for single objects and a notably improved axial resolution of multiple objects in close proximity.<br><br>Data record consists of a single zip archive containing the raw data divided into subfolders according to raw data contained within. Folder 01_Simulation_Data_Resized_Holograms contains two subsequent subfolders, 01_Single_Object and 02_Multiple_Object, both containing raw data in .mat format. Folder 02_Physical_Data_Holograms contains two subsequent subfolders, Mosquito_Image and Two_BallBearing_Images, containing raw data in .tiff format. 2026-09-15T18:08:10Z Dataset Dataset 10.82444/warw.33815578.v1 https://figshare.com/articles/dataset/Data_for_Improved_3D_localisation_of_multiple_small_objects_in_close-proximity_in_digital_holography/33815578 CC BY 4.0