@article{111286,
  keywords = {algorithms, Escherichia coli, Microscopy, Fluorescence, Image Processing, Computer-Assisted, Biophysical Phenomena, Imaging, Three-Dimensional},
  author = {Jeffrey Nguyen and Benjamin Bratton and Joshua Shaevitz},
  title = {Biophysical Measurements of Bacterial Cell Shape},
  abstract = { A bacteria{\textquoteright}s shape plays a large role in determining its mechanism of motility, energy requirements, and ability to avoid predation. Although it is a major factor in cell fitness, little is known about how cell shape is determined or maintained. These problems are made worse by a lack of accurate methods to measure cell shape in vivo, as current methods do not account for blurring artifacts introduced by the microscope. Here, we introduce a method using 2D active surfaces and forward convolution with a measured point spread function to measure the 3D shape of different strains of E. coli from fluorescent images. Using this technique, we are also able to measure the distribution of fluorescent molecules, such as polymers, on the cell surface. This quantification of the surface geometry and fluorescence distribution allow for a more precise measure of 3D cell shape and is a useful tool for measuring protein localization and the mechanisms of bacterial shape control. },
  year = {2016},
  journal = {Methods Mol Biol},
  volume = {1440},
  pages = {227-45},
  issn = {1940-6029},
  url = {https://dx.doi.org/10.1007/978-1-4939-3676-2_17},
  doi = {10.1007/978-1-4939-3676-2_17},
  language = {eng},
}