Eurographics/IEEE VGTC Symposium on Visualization : EUROVIS : [proceedings]. Eurographics/IEEE VGTC Symposium on Visualization最新文献

筛选

英文中文

CellTrackVis: analyzing the performance of cell tracking algorithms. CellTrackVis:分析细胞跟踪算法的性能。

Eurographics/IEEE VGTC Symposium on Visualization : EUROVIS : [proceedings]. Eurographics/IEEE VGTC Symposium on Visualization Pub Date : 2022-01-01 DOI: 10.2312/evs.20221103

W Li, X Zhang, A Stern, M Birtwistle, F Iuricich

{"title":"CellTrackVis: analyzing the performance of cell tracking algorithms.","authors":"W Li, X Zhang, A Stern, M Birtwistle, F Iuricich","doi":"10.2312/evs.20221103","DOIUrl":"https://doi.org/10.2312/evs.20221103","url":null,"abstract":"<p><p>Live-cell imaging is a common data acquisition technique used by biologists to analyze cell behavior. Since manually tracking cells in a video sequence is extremely time-consuming, many automatic algorithms have been developed in the last twenty years to accomplish the task. However, none of these algorithms can yet claim robust tracking performance at the varying of acquisition conditions (e.g., cell type, acquisition device, cell treatments). While many visualization tools exist to help with cell behavior analysis, there are no tools to help with the algorithm's validation. This paper proposes CellTrackVis, a new visualization tool for evaluating cell tracking algorithms. CellTrackVis allows comparing automatically generated cell tracks with ground truth data to help biologists select the best-suited algorithm for their experimented pipeline. Moreover, CellTackVis can be used as a debugging tool while developing a new cell tracking algorithm to investigate where, when, and why each tracking error occurred.</p>","PeriodicalId":72959,"journal":{"name":"Eurographics/IEEE VGTC Symposium on Visualization : EUROVIS : [proceedings]. Eurographics/IEEE VGTC Symposium on Visualization","volume":"2022 ","pages":"115-119"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841471/pdf/nihms-1862810.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10604659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Visualization for Understanding Uncertainty in Activation Volumes for Deep Brain Stimulation 可视化理解脑深部刺激激活体积的不确定性

Eurographics/IEEE VGTC Symposium on Visualization : EUROVIS : [proceedings]. Eurographics/IEEE VGTC Symposium on Visualization Pub Date : 2016-06-06 DOI: 10.2312/eurovisshort.20161158

B. Hollister, Gordon Duffley, C. Butson, Chris R. Johnson, P. Rosen

引用次数: 1

Pattern Visualization of Human Connectome Data. 人类连接体数据的模式可视化。

Eurographics/IEEE VGTC Symposium on Visualization : EUROVIS : [proceedings]. Eurographics/IEEE VGTC Symposium on Visualization Pub Date : 2012-01-01 DOI: 10.2312/PE/EuroVisShort/EuroVisShort2012/078-083

Yishi Guo, Yang Wang, Shiaofen Fang, Hongyang Chao, Andrew J Saykin, Li Shen

引用次数: 2