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Lsm 510 vis

Manufactured by Zeiss
Sourced in United States

The LSM 510 VIS is a confocal laser scanning microscope designed for visualizing and analyzing samples in the visible light spectrum. It is capable of high-resolution imaging and provides researchers with a versatile tool for their scientific investigations.

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2 protocols using lsm 510 vis

1

Visualizing Clot Formation Dynamics

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Clots formed from samples collected at baseline, after CPB and after transfusion were analyzed with confocal microscopy. Clots (50 μl) were formed from PPP and 0.25 U/mL of human thrombin in a 9:1 volume ratio. To allow for visualization, clots were prepared with 10 μg/ml of labeled fibrinogen (Alexa-Fluor 647 nm, Invitrogen, Carlsbad, CA, USA). Clots were formed in the presence of thrombin between a glass slide and coverglass, allowed to polymerize for 1 hour and then imaged using a Zeiss Laser Scanning Microscope (LSM 510 VIS, Zeiss Inc., Thornwood, NY, USA) at 63x magnification 16 (link). A minimum of four random 10 μm z-stacks were acquired per gel.
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2

Quantifying Flatworm Morphology and Motility

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A Leica M205 Stereo Microscope was used for documenting live images, videos, and NBT/BCIP developed whole-mount in situ specimens. Zeiss LSM-510 VIS or LSM-700 Upright confocal microscopes were used to capture fluorescent whole-mount in situ specimens and image projections. To quantify the average size of each protonephridial unit and mitotic activity, individual worm was imaged and tiled on a Perkin Elmer Ultraview spinning disk microscope. Stitching and mitotic activity quantification was performed in FiJi using standard plugins (Schindelin et al., 2012 (link)). Worm area, protonephridial size and number were measured/counted using a custom signal to noise thresholding and seeded region grow plugins. Batching was performed using macros. Movement speed quantification was performed on video sequences (acquired at 17.5 Hz) using a custom thresholding plugin and Mtrack2 (Klopfenstein and Vale, 2004 (link)). For each tracked object, the initial position was subtracted from the final to determine an average translocation velocity. Average velocities were computed by weighting track averages by the length of the track. Plugins and macros are available at https://github.com/jouyun.
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