Plan apo λ oil objective
The 60× Plan Apo λ oil objective is a high-magnification objective lens designed for use in advanced microscopy applications. It features a numerical aperture of 1.40 and a working distance of 0.13 mm, providing exceptional optical performance and resolution. The lens is optimized for use with immersion oil, enabling the capture of detailed, high-quality images.
Lab products found in correlation
7 protocols using plan apo λ oil objective
Real-time analysis of neutrophils in Rhesus macaque whole blood
Activated Neutrophil Imaging in NHP
Briefly, whole blood from Rhesus macaque NHP provided by Biomere (Biomere Biomedical Research Models, Inc., Worcester MA) was analyzed by flow cytometry to determine the number of DEspR + CD11b + activated neutrophils. White blood cells (WBCs) were then obtained, washed and resuspended in Hank’s Balanced Salt Solution (HBSS) + 2% Fetal Bovine Serum (FBS). WBCs were counted, divided into aliquots and incubated with 10 μg/ml Alexa Fluor 568-conjugated hu6g8 antibody or Alexa Fluor 568-conjugated IgG4 isotype antibody for 20 minutes at 4°C. Cells were washed to remove unbound antibody, then concentrated at to approximately 108 cells/mL, then loaded into imaging device. Live cell imaging was performed using a microfluidic chip with three parallel conjoined microfluidic channels, and a confocal microscope (Ti2-E microscope equipped with Nikon A1R HD25 point scanner and 60X Plan Apo λ Oil objective) housed within a temperature and CO2-controlled incubator. Images were then acquired every minute for the first 9 hours, and then every 5 minutes for 15 hours thereafter, for a total of 24 hours observation time. At 15 minutes into imaging, Sytox Green (Thermo-Fisher) was added into the imaging media for each chip at a final concentration of 1:6000.
Fluorescence Imaging of Spore Germination
Timelapse Fluorescence Microscopy Imaging
Images were acquired using NIS-Elements software (Nikon), and the resulting pictures were further handled with the open source software ImageJ. The average cellular fluorescence of cells was determined using the open source software Ilastik (55 (link)), which was trained to robustly identify and segment bacterial cells and exclude debris and out-of-focus cells. Background fluorescence was subtracted using NIS-Elements software.
Single-Cell Imaging of Bacterial Growth
Fluorescence Microscopy for Cell Analysis
A number of ca. 100 cells were evaluated from each independent culture of each strain.
Fluorescence Microscopy of Bacterial Cells
For imaging, cells were washed twice in an equal volume of a 0.85% KCl solution (Sigma-Aldrich) and then placed in 0.85% KCl agarose pads and a cover glass, essentially as described previously (Cenens et al., 2013) (link). Images were acquired using
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