Fig. S2
- ID
- ZDB-FIG-180717-31
- Publication
- Schott et al., 2018 - EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos
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Interactive and semi-automatic strategies to correct and analyze fragmented cell tracks. (A) Erroneous tracks can be interactively repaired to obtain a set of corrected full-length tracks. The curation mode features interactive maximum intensity projections and 3D volume rendering with superimposed cell tracks. Moreover, link candidate predictions and different curation modes like breadth-first or depth-first curation strategies minimize the required manual correction effort. (B-F) As an alternative to manually correcting the entire tracking database, we propose to select only a subset of sufficiently long tracks (B, e.g., select only tracks spanning over 70% of the time interval of interest), to perform the region of interest selection on these corrected tracks (C-E) and to finally assign all unlabeled tracks to the predominating group of their spatiotemporally nearest neighbors (F). Panel (A) shows a C. elegans embryo of the Cell Tracking Challenge that was imported to EmbryoMiner (data set by the Waterston lab, The George Washington University, Washington D.C., USA) [24, 36] and panels (B-F) show cropped regions of a whole-embryo zebrafish data set (S2 Note). |