Blobs and curves: object-based colocalisation for plant cells
Functional Plant Biology
Blobs and curves occur everywhere in plant bioimaging: from signals of fluorescence-labelled proteins, through cytoskeletal structures, nuclei staining and cell extensions such as root hairs. Here we look at the problem of colocalisation of blobs with blobs (protein-protein colocalisation) and blobs with curves (organelle-cytoskeleton colocalisation). This article demonstrates a clear quantitative alternative to pixel-based colocalisation methods and, using object-based methods, can quantify not only the level of colocalisation but also the distance between objects. Included in this report are computational algorithms, biological experiments and guidance for those looking to increase their use of computationally-based and quantified analysis of bioimages.
The NET1A dataset used for method validation was previously generated as part of the projects supported by the Biotechnology and Biological Sciences Research Council (BB/G006334/1). The bioimage informatics work in this paper was supported by an academic grant from the The Royal Society, UK (RF080232). The authors offer warm thanks to Martin R. Dixon, Durham University, for the Lat52-RFP-FABD2 Arabidopsis thaliana lines used in mitochondrial tracking along actin filaments.
This is the author accepted manuscript. The final version is available from CSIRO Publishing via the DOI in this record.
Vol. 42 (5), pp. 471-485