Horiba H550 Hematology Analyser

Automated hematology analyzers work on different principles:
- Electrical impedance
- Light scatter
- Fluorescence
- Light absorption
- Electrical conductivity.
(1) Electrical impedance: This is the classic and time-tested technology for counting cellular elements of blood. As this method of cell counting was first developed by Coulter Electronics, it is also called as Coulter principle (see Figure 811.1). Two electrodes placed in isotonic solutions are separated by a glass tube having a small aperture. A vacuum is applied and as a cell passes through the aperture, flow of current is impeded and a voltage pulse is generated.
(2) Light scatter: Each cell flows in a single line through a flow cell. A laser device is focused on the flow cell; as the laser light beam strikes a cell it is scattered in various directions. One detector captures the forward scatter light (forward angle light scatter or FALS) that is proportional to cell size and a second detector captures side scatter (SS) light (90°) that corresponds to the nuclear complexity and granularity of cytoplasm. This simultaneous measurement of light scattered in two directions is used for distinguishing between granulocytes, lymphocytes, and monocytes.
(3) Fluorescence: Cellular fluorescence is used to measure RNA (reticulocytes), DNA (nucleated red cells), and cell surface antigens.
(4) Light absorption: Concentration of hemoglobin is measured by absorption spectrophotometry, after conversion of hemoglobin to cyanmethemoglobin or some other compound. In some analyzers, peroxidase cytochemistry is used to classify leukocytes; the peroxidase activity is determined by absorbance.
(5) Electrical conductivity: Some analyzers use conductivity of high frequency current to determine physical and chemical composition of leucocytes for their classification.
#biomedicalengineering #diagnostics #hematology

[@ganesanbabu9784]

New version range have more parameters🎉

[@BiomedicalVlogs]

👍👍

[@alchudori6908]

slow working, not recomended.

[@BiomedicalVlogs]

I don’t think it’s that slow.