Caenorhabditis elegans Multi-Tracker Based on a Modified Skeleton Algorithm

被引:4
|
作者
Layana Castro, Pablo E. [1 ]
Puchalt, Joan Carles [1 ]
Garcia Garvi, Antonio [1 ]
Sanchez-Salmeron, Antonio-Jose [1 ]
机构
[1] Univ Politecn Valencia, Inst Automat & Informat Ind, Valencia 46022, Spain
关键词
C; elegans assays; lifespan; healthspan; image detection; multi-tracker; standard Petri dishes; COMPUTER TRACKING; VIDEO CAMERA; BEHAVIOR; MODEL;
D O I
10.3390/s21165622
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Automatic tracking of Caenorhabditis elegans (C. egans) in standard Petri dishes is challenging due to high-resolution image requirements when fully monitoring a Petri dish, but mainly due to potential losses of individual worm identity caused by aggregation of worms, overlaps and body contact. To date, trackers only automate tests for individual worm behaviors, canceling data when body contact occurs. However, essays automating contact behaviors still require solutions to this problem. In this work, we propose a solution to this difficulty using computer vision techniques. On the one hand, a skeletonization method is applied to extract skeletons in overlap and contact situations. On the other hand, new optimization methods are proposed to solve the identity problem during these situations. Experiments were performed with 70 tracks and 3779 poses (skeletons) of C. elegans. Several cost functions with different criteria have been evaluated, and the best results gave an accuracy of 99.42% in overlapping with other worms and noise on the plate using the modified skeleton algorithm and 98.73% precision using the classical skeleton algorithm.
引用
收藏
页数:21
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