Mc190 hd camera
The Leica MC190 HD is a high-definition digital camera designed for laboratory and scientific applications. The camera features a 1/1.8-inch CMOS sensor with a resolution of 1920 x 1080 pixels, capable of capturing HD video at 30 frames per second. The camera supports a variety of interfaces, including USB 3.0 and HDMI, allowing for convenient connectivity and integration with various laboratory equipment and software.
Lab products found in correlation
13 protocols using mc190 hd camera
Trypan Blue Cell Viability Assay
Quantitative Congo Red Dye Assay
Amyloid-Beta Immunohistochemistry in Mouse Brain
Cryopreservation of Eulalia viridis
Structural Analysis of BC-Alg Macrofibers
Optical Microscopy of Surfactant Foams
using a Leica DME optical microscope mounted with a Leica MC190 HD
camera. Images were acquired by Leica Application Suite 4.12.0 software
with and without polarizers. A drop of either surfactant in oil or
oil foam (∼5 μL) was transferred by a micropipette onto
the middle of a glass slide (76 mm × 26 mm) with a single circular
cavity (15 mm) and then covered gently with a thin glass coverslip.
The glass slide containing the sample was placed in the middle of
a hot stage (Linkam PE120) connected to a digital controller (Linkam
T95PE). All images were analyzed with ImageJ software (1.47 V) calibrated
with a Pyser-SGI Graticule Limited. The number average bubble diameter
of a foam sample was calculated from at least 200 representative bubbles.
Visualizing Zebrafish Embryo Development
Comprehensive Materials Characterization
Histological Analysis of HAE Cells
Quantifying Mammary Gland Morphology
For quantification of ductal density, images of Hematoxylin and Eosin (H&E)-stained pregnant mammary glands were acquired using a Leica Microscope DM2000 with a Leica MC 190 HD camera with an N Plan 10× objective. The percentage of ductal density was quantified from 10× images by applying a series of Gaussian filtering and thresholding for brightness to separate stained tissue area from the lumen and surrounding adipose tissue using a custom Java script that can be obtained from the authors. The ratio of the red channel to the other channels, balanced with the brightness, was used to further separate Hematoxylin-stained nucleus-rich ductal tissue from Eosin-stained connective tissue, and produce a binary image. A size-based filter was applied to remove single nuclei and debris. The remaining area representing the ducts was calculated for each tissue slide.
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