Robert C Wright, Barbara J Polivka, Jennifer A Villwock
Inpatient pain assessment and decision-making in internal medicine and general surgery residents: A qualitative analysis
Heliyon
last decade seen increasing use advanced imaging techniques platelet research however lag development image analysis methods leaving much information trapped images herein present robust analytical pipeline finding following individual platelets time growing thrombi pipeline covers four steps detection tracking estimation tracking accuracy quantification platelet metrics detect platelets using deep learning network image segmentation validated proofreading multiple experts track platelets using standard particle tracking algorithm validate tracks custom image sampling essential following platelets within dense thrombus show pipeline accurate previously described methods demonstrate utility analytical platform use show vivo thrombus formation much faster ex vivo furthermore platelets vivo exhibit less passive movement direction blood flow tools free open source written popular userfriendly python programming language empower researchers accurately find follow platelets fluorescence microscopy experiments