scholarly journals Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Rogelio González-González ◽  
Nelly Molina-Frechero ◽  
Ramón G. Carreón-Burciaga ◽  
Sandra López-Verdín ◽  
Carlos Robles-Bonilla ◽  
...  
Keyword(s):  
Relative Effectiveness ◽  
Software Tool ◽  
Labeling Index ◽  
Cell Counting ◽  
Ki 67 ◽  
Cell Counts ◽  
Automated Cell Counting ◽  
Counting Methods ◽  
Changes Over Time ◽  
Automated Methods

Ameloblastoma is a common and unpredictable odontogenic tumor with high relapse rates. Several studies assessing the proliferative capacity of these neoplasms have been published, mainly using the protein Ki-67. Cell counts must be completed to determine the cell proliferation rate. Multiple methods have been developed for this purpose. The most widely used method is the labeling index, which has undergone changes over time to better facilitate cell counting. Here, we compared manual cell counting methods with automated cell counting (ImmunoRatio) to determine the relative effectiveness of these methods. The results suggest that ImmunoRatio, a free software tool, may be highly advantageous and provide results similar to manual cell counting methods when used with the appropriate calibration. However, ImmunoRatio has flaws that may affect the labeling index results. Therefore, this automated cell counting method must be supplemented with manual cell counting methods.

Preparation and Use of Somatic Cell Count Samples (SCCS) for Comparison of Milk Somatic Cell Counting Methods

1987 ◽  
Vol 50 (2) ◽  
pp. 132-135 ◽  
Author(s):  
T. J. LINTNER ◽  
A. L. LANGE ◽  
C. W. HEALD ◽  
R. J. EBERHART
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Bovine Milk ◽  
Coulter Counter ◽  
Cell Counting ◽  
Cell Content ◽  
Cell Counts ◽  
Counting Methods ◽  
Before And After

Somatic cell count samples (SCCS) for use in comparison of milk somatic cell counting methods were prepared from the cell sediment deposited in a creamery milk separator. Bovine milk somatic cells were resuspended from the sediment, and serial cell dilutions were prepared in bronopol-preserved milk diluent. Over a 1-year period, sets of SCCS were prepared each month and sent to milk-testing laboratories in the U.S.A., Canada and Europe, and counted by the methods in use at those Laboratories: (a) direct microscopic somatic cell count (DMSCC), (b) Fossomatic counter and (c) Coulter counter. Cell counts were normalized to eliminate the effect of month to month variation in the cell content of the SCCS. Counts obtained by the three methods were similar, although Coulter counter results tended to be lower, and significantly lower (P< 0.05) in SCCS with cell counts greater than 700,000 cells/ml than those counts by the other two methods. The effect of shipping on SCCS stability was assessed for SCCS samples sent to and returned from other laboratories, and counted by the Fossomatic method on their return. Counts were similar before and after shipping, except that results for SCCS with cell counts greater than 1,000,000 cells/ml were significantly higher (P<0.05) after their return.

Somatic Cell Reference Samples for Calibration of Milk Somatic Cell Counting Methods

1984 ◽  
Vol 47 (9) ◽  
pp. 694-696 ◽  
Author(s):  
T. J. LINTNER ◽  
C. W. HEALD ◽  
R. J. EBERHART
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Potassium Dichromate ◽  
Collaborative Study ◽  
Skim Milk ◽  
Cell Counting ◽  
Cell Counts ◽  
Counting Methods ◽  
Raw Bulk Milk

Somatic cell count samples (SCCS) for use in calibration of milk somatic cell counting methods were prepared from raw bulk milk preserved with potassium dichromate. Somatic cells were separated by centrifugation, then appropriate cell dilutions were prepared in the dichromate-preserved skim milk. Somatic cell counts from SCCS stored at 4°C were stable over a 23-wk period. No bacterial contamination was detected in these samples. In a collaborative study among eight laboratories, SCCS were not affected by usual conditions by shipping. The SCCS can be used as reference standards for the direct microscopic somatic cell count and the Fossomatic and Coulter Counter somatic cell counting methods.

A Comparison of the Hot Spot and the Average Cancer Cell Counting Methods and the Optimal Cutoff Point of the Ki-67 Index for Luminal Type Breast Cancer

Oncology ◽  
2015 ◽  
Vol 90 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Nobuyuki Arima ◽  
Reiki Nishimura ◽  
Tomofumi Osako ◽  
Yasuyuki Nishiyama ◽  
Mamiko Fujisue ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cell ◽  
Hot Spot ◽  
Cutoff Point ◽  
Cell Counting ◽  
Optimal Cutoff ◽  
Ki 67 ◽  
Counting Methods ◽  
Luminal Type ◽  
Optimal Cutoff Point

scholarly journals Accuracy and precision comparison of the hemocytometer and automated cell counting methods

2009 ◽  
Vol 23 (S1) ◽  
Author(s):  
Laurel Rebecca Stone ◽  
Diane R Gray ◽  
Krissy Remple ◽  
Matthew P Beaudet
Keyword(s):  
Cell Counting ◽  
Accuracy And Precision ◽  
Automated Cell Counting ◽  
Counting Methods

Algorithms for automated montage synthesis of images from laser-scanning confocal microscopes

1995 ◽  
Vol 53 ◽  
pp. 650-651
Author(s):  
D. E. Becker
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Laser Scanning ◽  
Cell Counting ◽  
Wide Area ◽  
Data Set ◽  
Computational Synthesis ◽  
Automated Cell Counting ◽  
Partial View ◽  
The Individual

An efficient, robust, and widely-applicable technique is presented for computational synthesis of high-resolution, wide-area images of a specimen from a series of overlapping partial views. This technique can also be used to combine the results of various forms of image analysis, such as segmentation, automated cell counting, deblurring, and neuron tracing, to generate representations that are equivalent to processing the large wide-area image, rather than the individual partial views. This can be a first step towards quantitation of the higher-level tissue architecture. The computational approach overcomes mechanical limitations, such as hysterisis and backlash, of microscope stages. It also automates a procedure that is currently done manually. One application is the high-resolution visualization and/or quantitation of large batches of specimens that are much wider than the field of view of the microscope.The automated montage synthesis begins by computing a concise set of landmark points for each partial view. The type of landmarks used can vary greatly depending on the images of interest. In many cases, image analysis performed on each data set can provide useful landmarks. Even when no such “natural” landmarks are available, image processing can often provide useful landmarks.

scholarly journals Ki-67 labeling index and Knosp classification of pituitary adenomas

2021 ◽  
pp. 1-5
Author(s):  
Li Yuhan ◽  
Wu Zhiqun ◽  
Tian Jihui ◽  
Pan Renlong
Keyword(s):  
Pituitary Adenomas ◽  
Labeling Index ◽  
Ki 67
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