Optional fluorescence application
(Ex: 375/28nm Em: 460/50nm）
(Ex：480/30nm； Em: 535/40nm）
(Ex: 540/25nm; Em: 620/60nm）
2.5×, 5.0 Megapixel
Manual focusing & Autofocusing
2.15 mm×1.62 mm
Cell lines, stem cells, primary cells, pollens, beer yeast
Cell Size Range
4-60 μm (Optimal: 7-60 μm)
Cell Concentration Range
Cell counting Time
Less than 9s
Historical Data Storage
1000 counting reports and images at most
Chinese and English
212 mm(W)* 264 mm(H)* 165 mm (D)
An automated cell counter is an instrument for automatically counting living and/or dead cells. Researchers opt for automated cell counters compared to manual hemocytometers, which have been used to count cells for decades since they deliver faster and more accurate cell counts. An automated cell counter can deliver a count in less than 9 seconds in the bright field mode compared to the 5 minutes manual counting would take.
An automated cell counter can measure cell concentration before cell passage or evaluate the cell viability of a cultured cell line. Conduct Science’s automated cell counter allows easy operation of brightfield and fluorescence cell counts. It also has multiple data displays and storage, which furthers its convenience.
The Automated Cell Counter weighs ~3.2 kg and measures 212 m in width, 264 mm in height, and 165 mm in depth. It can count various cells such as stem cells, primary cells, cell lines, pollens, and beer yeast in less than 9 seconds. The counting area measures 2.15 mm×1.62 mm. It can accurately count cells with a size range of 4-60 microns and a concentration of 104-107 cells/mL. It has an amplification factor of 2.5×5.0 Megapixels. It also includes an option for fluorescence analysis. It allows both manual focusing and autofocusing methods. It has large historical data storage that can save up to 1000 counting reports and images. It can be used in either Chinese or English language settings.
Medical and research laboratories employ automated cell counters to assess the quantity and kinds of cells present in blood or urine samples and verify the viability of a cultivated cell line for research purposes. Some automated cell counters are used for blood testing, while others are used for urinalysis.
The automated cell counter is highly efficient in counting deferential neutrophil counts, with moderate efficiency in counting lymphocytes and less efficiency in monocytes and eosinophils counting (von Konigslow, Renaud, Duffield, Higginson, & Kelton, 2019). The countermeasures cells of body fluids with precision, improved accuracy, and efficiency is extremely difficult with manual counters (Bourner et al., 2014).
Automated cell counting is quicker, less reliant on the user, and simple to use. The device has a large data storage, allowing 1000 counts to be stored. Moreover, it allows multiple data displays and storage with the data access allowed from any location, at any time.
It can count various types of cells that include cell lines, stem cells, beer yeast, primary cells, and pollens with the accuracy in size ranging from 4 microns to 60 microns. It only weighs 3.2 kg, which makes it easy to carry anywhere. In terms of safety, there is no hazardous biological damage as it comes with disposable slides.
Using it at a comfortable angle of 45 degrees reduces eye fatigue and spine pain. A built-in dilution calculator makes the work quicker and less tedious. Users can preset functions according to their needs; they can adjust cell size, roundness, and brightness which makes it more accurate. It can store data in different formats, i.e., PNG, PDF, CSV, and JPEG.
Automated hematology analyzers may inadvertently exaggerate or deflate cell counts. They solely measure the volume and amount of particles. Certain analyzers, particularly impedance-based counters, may not distinguish between minute aggregates of platelets and nucleated red blood cells. Platelet clumping may be mistaken for leukocytes or erythrocytes, and nucleated red blood cells, especially lymphocytes, can be mistaken for leukocytes. Atypical cells that are big or unidentified, toxic immature neutrophils, and significantly reactive lymphocytes may also be misclassified.
Bourner, G., De la Salle, B., George, T., Tabe, Y., Baum, H., Culp, N., & Keng, T. B. (2014). ICSH guidelines for the verification and performance of automated cell counters for body fluids. International Journal of Laboratory Hematology, 36(6), 598-612. doi:10.1111/ijlh.12196
Green, R., & Wachsmann-Hogiu, S. (2015). Development, history, and future of automated cell counters. Clin Lab Med, 35(1), 1-10. doi:10.1016/j.cll.2014.11.003
von Konigslow, T. E., Renaud, D. L., Duffield, T. F., Higginson, V., & Kelton, D. F. (2019). Validation of an automated cell counter to determine leukocyte differential counts in neonatal Holstein calves. Journal of dairy science, 102(8), 7445–7452. https://doi.org/10.3168/jds.2019-16370