KymoMerge: a new tool for analysis of multichannel kymographs
McMahon, L.; Digilio, L.; Duston, A.; Yap, C. C.; Winckler, B.
Show abstract
Kymograph analysis is commonly used by researchers to study dynamic processes in cells. Current tools widely available only allow for analysis of one channel kymographs. Here we provide a python-coded, open source program to use as a plug-in for ImageJ which creates one kymograph from the kymographs of two separate channels of one time-lapse movie. This add-in, which we call KymoMerge, therefore allows for analysis of only the co-located tracks in multi-channel movies.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- AutoNeuriteJ: An ImageJ plugin for measurement and classification of neuritic extensions 95%
- The Image Data Explorer: interactive exploration of image-derived data 94%
- Mitochondrial event localiser (MEL) to quantitatively describe fission, fusion and depolarisation in the three-dimensional space 94%
Similar papers in this journal
- Computational detection, characterization, and clustering of microglial cells in a mouse model of fat-induced postprandial hypothalamic inflammation 93%
- MetaChrome: An Open-Source, User-Friendly Tool for Automated Metaphase Chromosome Analysis 92%
- SMAUG: Analyzing single-molecule tracks with nonparametric Bayesian statistics 91%
Similar papers in this journal
- RAINSTORM: Automated Behavioral Analysis for Mice Exploratory Behavior Using Artificial Neural Networks. 93%
- Optimizing In Situ Proximity Ligation Assays for Mitochondria, ER, or MERC Markers in Skeletal Muscle Tissue and Cells 91%
- Light Microscopy-Based Organelle Quantification: A Comprehensive Protocol 91%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.