Using cell/tissue image analytical technology in the medical
laboratory and pathological department greatly improve the working
efficiency of medical staff;in the file managing aspect,we
introduce automatical archiving and retrieval,and in morphology and
optical density measuring aspect,we can do quantitative analysis of
DNA content and immune histochemistry.
Features
Without the limition of small microscope you can observe the
section through big screen,which can reduce your work intensity and
improve your work efficiency
With computer managing your case file,you just need to press a key
to see the pathological information and image and freely output
graphic integration report
In cell morphology measuring aspect, complex microscopic ruler and
lattice module measurement is replaced
In optical density measuring aspect,it replaces flow cell equipment
and microspectrophotometer to do quantitative analysis of gene
content
In tumor cell identification aspect,it can analytic immune tissue
chemical reaction with the power of color digital
Function
Case file management: pathological
registration、preservation、retrieval, various forms of storage
medium(shcu as massive hard disk、optical disk、tape ),permanent
storage of massive patients''''data and pathological image,low
price,large storage. There are pathological images of typical cases
for teaching reference and contrast; There are also case database,
in which you can automatically archive、statistic and retrieve
according to disease kinds or anatomical site;and you can also
retrieve according to name、pathological number、date.
Image processing function:it can deal with image information that
come from digital / simulated device such as
cameras、scanners、digital cameras etc;the image can be
amplifyed、shranked、translated、window
handled、strengthed、positive&negative exchanged etc.
Image edition function: mean value wave filtering、smoothing
processing、outliers removal、cavity filling、image dressing and image
switching offer reliable method for the accurate measurement of
morphological parameters
Image segmentation function:there are many kinds of segmentation
methods,including manual、interactive、valve value、point、automatic
true color segmentation.the unique domestic advanced automatic true
color segmentation function can accurately separate various
quantitative analysis measurement from pathology images
Multiple view field、multi-parameter quantitative measurement of
such morphology parameters as area、circumference、equivalent circle
diameter、long and short diameter、long and short diameter
ratio、morphological factor、circularity、heteromorphic
degree、heteromorphic index、caryoplasm ratio、distribution density of
module、cell、nucleus.
Caryoplasm ratio determination: by using multiple value
segmentation technology,it can selectively measure the equivalent
area of cytoplasm and nucleus of endoscopicment cell and then work
out the caryoplasm ratio
DNA ploidy analytical function:it strictly obeys the standard
recommended by international cell institute to determine the DNA
content and analyze ploidy of cell image cytophotometry.Under
Feulgen staining,it measure the DNA content in normal diploid and
tumor cells, automatically calculate group cell ploidy parameter
through calculating integral optical density and output the
histogram statistic report of DNA ploidy distribution.inspecting
abnormal DNA content not only can be one signs of malignant tumor
but also can reflect the malignant degree and biological behavior
of tumor
Immunohistochemical analysis module:automatically identify and
calculate the area ratio of staining positive cell、medium positive cell、weak positive cell and negative cell,print analytical report, research the
specific reaction of antigen and antibody, detect the unknown
antigen and antibody in tissues and judge the source and
differentiation degree of tumor
Cell/tissue AG-NOR analysis module:this function module can measure
every cell’s nuclear area,the area and number of nucleolus
silver-dyeing particles,the ratio of the above two values and the
integral optical density,meanwhile output and print the statistic
results