Lsm780 inverted
The LSM780 inverted is a laser scanning microscope system designed for high-resolution imaging of biological samples. It features an inverted optical configuration, providing easy access to the specimen and enabling live-cell experiments. The system utilizes a range of laser sources and sensitive detectors to capture detailed images of fluorescently labeled samples. The core function of the LSM780 is to enable researchers to obtain high-quality, confocal microscopy data for their scientific investigations.
Lab products found in correlation
8 protocols using lsm780 inverted
Microscopic Cell Imaging Protocol
CRISPR Imaging of Human Telomeres
Immunofluorescence Staining of Cardiomyocytes
High-throughput image analysis was performed with a custom made Matlab® script. Briefly, cell nuclei were detected using contrast enhancement methods, then segmented with an edge detection algorithm (Canny; Matlab®), following which elliptical fitting was performed to compute the aspect ratio (short axis/long axis) and the angle between the long axis and the groove direction.
Quantitative Analysis of ORF1 Expression
Quantifying Fluorescence Intensity in Tissue Samples
Pollen Tube Germination Assay
Biofilm Viability Analysis via CLSM
different concentrations of BlueM® were washed and labeled with
Live/Dead BacLight Bacterial Viability Kit (L7012, Invitrogen Molecular Probes,
Eugene, OR, USA) containing SYTO9 (SY) and propidium iodide (PI), according to
the manufacturer’s instructions. The excitation/emission wavelengths were
488/500 nm for SYTO and 488/635 nm for PI. Fluorescence from the stained cells
was observed using a confocal laser scanning microscope (LSM 780 inverted,
Zeiss, Jena, Germany), and the images were acquired with ZEN 2012 software
(Zeiss) at a resolution of 1,024 by 1,024 pixels. Single focal plane images of
the biofilm were captured by the system with a 20x magnification lens. The area
selected for the biofilm analysis was randomly defined, but not so close to the
edges of the specimens.
Multimodal Imaging Techniques Protocol
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