Phase-contrast and epifluorescence images were acquired with a Nikon Ti-E inverted microscope (Nikon Instruments) using a 100X (numerical aperture [NA], 1.40) oil immersion objective and a Neo 5.5 scientific complementary metal oxide semiconductor (sCMOS) camera or a DU885 EMCCD (Andor Technology). The microscope was outfitted with an active-control environmental chamber for temperature regulation (Haison Technology, Taipei, Taiwan). Images were acquired using μManager v. 1.4 (52 (link)). Cell contours were automatically segmented using Morphometrics (53 (link)), and a local coordinate system was defined based on the meshing algorithm from MicrobeTracker (54 (link)). Some images of cells sampled from the edge of colonies (
Du885 emccd
The DU885 EMCCD is a high-performance electron-multiplying charge-coupled device (EMCCD) camera designed for low-light scientific imaging applications. It features a back-illuminated sensor with a high quantum efficiency and low noise characteristics, enabling the capture of high-quality images even in challenging lighting conditions.
3 protocols using du885 emccd
Imaging and Segmentation of Bacterial Cells
Phase-contrast and epifluorescence images were acquired with a Nikon Ti-E inverted microscope (Nikon Instruments) using a 100X (numerical aperture [NA], 1.40) oil immersion objective and a Neo 5.5 scientific complementary metal oxide semiconductor (sCMOS) camera or a DU885 EMCCD (Andor Technology). The microscope was outfitted with an active-control environmental chamber for temperature regulation (Haison Technology, Taipei, Taiwan). Images were acquired using μManager v. 1.4 (52 (link)). Cell contours were automatically segmented using Morphometrics (53 (link)), and a local coordinate system was defined based on the meshing algorithm from MicrobeTracker (54 (link)). Some images of cells sampled from the edge of colonies (
Live-Cell Fluorescence Microscopy Imaging
Imaging Cell Morphology Dynamics
Phase-contrast and epifluorescence images were acquired with a Nikon Ti-E inverted microscope (Nikon Instruments) using a 100X (NA 1.40) oil immersion objective and a Neo 5.5 sCMOS camera or a DU885 EMCCD (Andor Technology). The microscope was outfitted with an active-control environmental chamber for temperature regulation (HaisonTech, Taipei, Taiwan). Images were acquired using µManager v. 1.4 (49) . Cell contours were automatically segmented using Morphometrics (50) and a local coordinate system was defined based on the meshing algorithm from MicrobeTracker (51) . Some images of cells sampled from the edge of colonies (Fig. 6) had clusters of cells that could not be segmented by Morphometrics. These images were processed with the neural network-based machine learning framework DeepCell (52) prior to segmentation with Morphometrics.
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