Automated Cell Counter
The ADAM-MC is a fast alternative to conventional manual counting methods. The principle of the technique used in the ADAM-MC is the well known method of fluorescence microscopy, implemented in a small, highly advanced fluorescence microscope combined with a CCD camera and software-based image analysis. The excitation source is green LED. The emission filter removes all wavelengths from the light emitted from the sample except red fluorescence light. The red fluorescent light from the particles in the sample is focused onto the detector (CCD camera). Then image analysis program counts the red particles to represent the cell number in the sample.
Automated Detection And Measurement Cell Counter System
The ADAM MC cell counter system is applicable to cell viability test, body fluid count and somatic cell count. The C-Reader counts total cell, non-viable cell and body fluid, stained with the DNA-specific fluorescent dye (PI or EtBr).
Two channel (More accuracy, 60 frames cell images per experiment Easy cell viability test) , Four channel (Low cost, 22 frames cell images per experiment, Easy cell viability test)
» Prior to analysis the sample is mixed with a stain solution.
» recommended for C-Reader chip loading volume
Two channel : 20 ? . Two channel : 12 ?
Analysis Time : about 2 min 30 sec
5 x 104 to 4 x 106 cells/?
Optimal range in the sample mixture is 4 x 105 to 2 x 106 cells/?
Menu-controlled by means of keypad
Operating System : Windows 2000/XP, Windows-compatible computer
USB Interface : Communicate between PC and C-Reader
Weight : 9 kg
Size (WxLxH) : 220 X 375 X 250 mm
View the web seminar at HERE
ADAM MC cell counter images multiple fields from each channel for cell count, size distribution calculations. It also uses total cell and live cell for viability. Report and original images are stored for re-processing or be processed with different image softwares.
ADAM MC automated cell counter differ from other cell counters by accurately counting live and total cells in the samples and keeps cell images as the raw data. Users can analyze these images with a different image processing software, or verify the counts.
Product Introduction ppt
This product was added to our catalog on Saturday 06 February, 2010.