Quantitative Analysis of Fat Cells
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Tags:
- Clinical Medicine
Automatic batch measurement
Quantity:1485 cells
Average area:169 µm2
Standard area deviation:403 µm2
Adipocytes are composed of droplets of fat called adipose tissue and can be classified into two types: white adipose tissue (WAT) and brown adipose tissue (BAT). Each cell of white adipose tissue contains a single large fat droplet that stores fat. Brown adipose tissue cells contain numerous smaller droplets. These cells burn fat to generate heat.
If white adipose tissue grows in size due to obesity, adipocytes become dysfunctional, which can lead to the onset of certain diseases.
Objective lens: CFI Plan Apo λ 20x
Batch measurement under the same conditions
Quantity:1955 cells
Average area:122 µm2
Standard area deviation:352 µm2
Quantity:3162 cells
Average area:68 µm2
Standard area deviation:186 µm2
Quantity:1190 cells
Average area:222 µm2
Standard area deviation:416 µm2
Using the All-in-One Fluorescence Microscope BZ-X800
- When a slice of the target is too large to fall within a single field of view, images are captured while moving the stage and a high-resolution image can be created by stitching these images.
- Even for tilted specimens or specimens that have height differences, it is possible to create an image in which the entire specimen is in focus. This is accomplished by capturing multiple images in the Z direction and stitching together only the parts that are in focus.
- Each closely spaced adipocyte can be extracted and counted using the Hybrid Cell Count measurement software.
- On the basis of the conditions extracted with Hybrid Cell Count, the Macro Cell Count can be used to process a batch of multiple images.