From each animal/group we obtained near 60 slices of CP of lateral ventricle. To study each antibody we used 7–8 slices. The intensity of immunostaining was measured in whole CP present in the slice. Fluorescence intensities from images were semi-quantitatively analyzed by densitometry. Immunohistochemistry slides were converted to digital images by using an LEICA DMRB photomicroscope with an LEICA DC 300 F camera (Germany) as 8-bit acquisitions of color. Image analysis was completed in Image J (v. 1.43 u, NIH, Bethesda, MD, USA). The “Mean Gray Value” was measured for all stained tissue. This value gives the average stain intensity in gray scale units for all threshold pixels.
Dmrb photomicroscope
Manufactured by Leica
Sourced in Germany
The DMRB photomicroscope is a laboratory equipment designed for high-quality imaging and analysis of microscopic samples. It features a modular construction, allowing for versatile configurations to suit various applications. The DMRB provides advanced optical performance and a range of illumination options to support detailed examination and documentation of microscopic specimens.
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Lab products found in correlation
3 protocols using dmrb photomicroscope
1
Quantitative Immunohistochemistry of Lateral Ventricle
2
Histological Analysis of Onion Bulb Development
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Bulbs cultured for 1, 2 or 5 weeks at 7 °C were fixed in FAA fixative (5 mL of 40% formalin, 5 mL of glacial acetic acid and 90 mL of 70% ethanol) at 4 °C for 24 h, according to the procedure of Jensen [38 ]. Fixed material was washed, dehydrated in a graded ethanol series and embedded in paraffin. Cross sections (5–7 μm thick) were stained with hematoxylin or alcian blue, and photographed using a Leitz DMRB photomicroscope (Leica, Wetzlar, Germany).
3
Erythrocyte Morphology Analysis via Microscopy
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Two blood smears on microscopic slides were prepared per specimen. Slides were stained with a Bio-Diff kit (Bio Optica, Italy). Under DM RB photomicroscope (Leica, Germany), random fields of the microscopic slides were observed and photographed. Pictures were analysed using the image analysis software (ImageJ) which automatically calculated cellular parameters (area, perimeter, and length) of erythrocytes. Shape factor was calculated with the following equation:
Development stages of erythrocytes (immature, intermediary, and mature) were categorised based on shape factor (Houston 1997) (link).
Development stages of erythrocytes (immature, intermediary, and mature) were categorised based on shape factor (Houston 1997) (link).
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