Cell Counting in the Fuchs-Rosenthal Counting Chamber

2020 ◽  
pp. 49-52
Author(s):  
Josefine Neuendorf
Keyword(s):  
Cell Counting ◽  
Counting Chamber

scholarly journals Improvement of cell counting method for Neubauer counting chamber

2019 ◽  
Vol 34 (1) ◽  
Author(s):  
Minghao Zhang ◽  
Lingui Gu ◽  
Peihua Zheng ◽  
Zhixin Chen ◽  
Xinqi Dou ◽  
...  
Keyword(s):  
Cell Counting ◽  
Counting Method ◽  
Counting Chamber

scholarly journals Effect of Porphyromonas gingivalis infection on leukocyte count in rat model of diabetes mellitus

2018 ◽  
Vol 4 (1) ◽  
pp. 27
Author(s):  
Safira Niza Ulfita ◽  
Agustin Wulan Suci Dharmayanti ◽  
Budi Yuwono
Keyword(s):  
Diabetes Mellitus ◽  
Porphyromonas Gingivalis ◽  
Rat Model ◽  
Metabolic Disorder ◽  
Leukocyte Count ◽  
Systemic Disease ◽  
Cell Counting ◽  
The Third ◽  
Cellular Changes ◽  
Counting Chamber

Diabetes mellitus (DM) is a metabolic disorder characterized by hyperglycemia and become the third cause of death in Indonesia. The most common oral complications occured in DM is periodontitis. Porphyromonas gingivalis (Pg) is the main etiology of periodontitis, one of periodonthopathogen relate to systemic disease. However this theory still controversial, DM and periodontitis have the same pathogenesis, thus are cellular changes. Pg is predicted affect the total leukocytes count in DM. The aim of this study was to determine the effect of Pg infection to total leukocytes count in DM rat model. The rat model of DM was obtained by injection of streptozotocin with different dosage for 5 days sequentially then injected by Pg on distobuccal and distopalatal sulcus of the maxillary first molars for 19 days with interval 3 days. The total leukocytes were calculated manually by Neubauer improved cell counting chamber. The results demonstrated that rat model of DM which injected by Pg has the lowest total leukocytes count. Therefore, Pg infection decreased the total leukocytesin DM rat model.

scholarly journals Comparison of Ferments in the Process of Functional Beverage Making

2018 ◽  
Vol 75 (1) ◽  
pp. 90 ◽  
Author(s):  
Liana Claudia SALANŢĂ ◽  
Nicoleta E. BORZA ◽  
Maria TOFANĂ ◽  
Carmen R. POP ◽  
Elena MUDURA ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Alcoholic Fermentation ◽  
Alcohol Concentration ◽  
Cell Counting ◽  
Total Extract ◽  
Higher Alcohol ◽  
Medicinal Value ◽  
Counting Chamber ◽  
Ancient Times ◽  
Sensory Parameters

The aim of this study was to compare the main ferments selected to be used in the process of mead making: Saccharomyces cerevisiae yeast and pollen, the latter having been used in ancient times as ferment. It has only been recently that the market has exhibited significant interest in developing foods containing functional ingredients. Honey has been a corollary of hidden nutritional and medicinal value for centuries. Mead is the result of alcoholic fermentation, by mixing different proportions of honey with water and pollen, as a fermentation agent. The fermentation process was monitored by collecting samples periodically and analyzing the alcohol concentration, total extract, the level of fermentation, the pH, as well as the yeast number with the Thoma cell counting chamber. Additionally, physicochemical (acidity and vitamin C) and sensory parameters were determined for the final products. Results and discussion: Pollen-fermented beverages have a higher alcohol concentration than beverages fermented with Saccharomyces cerevisiae, which is explained by the additional intake of carbohydrates induced by the addition of pollen.

scholarly journals Csf in 85 patients with aids and cns cryptococcosis

1992 ◽  
Vol 50 (4) ◽  
pp. 491-496 ◽  
Author(s):  
J. A. Livramento ◽  
L. R. Machado ◽  
J. P. S. Nóbrega ◽  
H. R. Gomes ◽  
L. S. Vianna ◽  
...  
Keyword(s):  
Renal Transplant ◽  
Inflammatory Response ◽  
Opportunistic Infections ◽  
Cell Counting ◽  
Time Period ◽  
Counting Chamber ◽  
Hiv Antibodies ◽  
Immune Changes ◽  
Antibodies Detection ◽  
Csf Findings

In an eight years time period (July 1984-June 1992) CSF samples of 40718 patients were studied, and 610 were from patients with AIDS clinically diagnosed and immunologically confirmed through HIV antibodies detection. Among opportunistic infections detected in them 85 were CNS cryptococcosis. For the purpose of this study the CSF of these 85 patients are the AIDS group of CNS cryptococcosis. For comparison, CSF data from 50 patients with CNS cryptococcosis but without AIDS were taken (non-AIDS group); in this group, 22 patients were immunosuppressed after renal transplant. In AIDS group, the more frequent CSF findings were: yeast presence at direct exam (Fuchs-Rosenthal cell counting chamber), growing of the yeast in cultures, and gamma globulins increase. In non-AIDS group were more frequent: hypereytosis, neutrophil cells presence, and total protein increase. Differences between the two groups are discussed taking into account CNS/CSF immune changes induced by HIV infection. It is concluded that in CNS cryptococcosis of patients with AIDS the CSF evidenced more extensive signs of the fungal opportunistic infection than signs of inflammatory response to the infection. The latter were more prominent among patients of the non-AIDS group of CNS cryptococcosis.

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.

Automated cell counting of astrocytes on patterned substrates containing aliphatic and charged properties

1995 ◽  
Vol 53 ◽  
pp. 974-975
Author(s):  
W. Shain ◽  
H. Ancin ◽  
H.C. Craighead ◽  
M. Isaacson ◽  
L. Kam ◽  
...  
Keyword(s):  
Cell Culture ◽  
Cell Attachment ◽  
Culture Method ◽  
Cell Counting ◽  
Data Sets ◽  
Nuclear Staining ◽  
Double Positive ◽  
A Cell ◽  
Wafer Test ◽  
Cell Densities

Neural protheses have potential to restore nervous system functions lost by trauma or disease. Nanofabrication extends this approach to implants for stimulating and recording from single or small groups of neurons in the spinal cord and brain; however, tissue compatibility is a major limitation to their practical application. We are using a cell culture method for quantitatively measuring cell attachment to surfaces designed for nanofabricated neural prostheses.Silicon wafer test surfaces composed of 50-μm bars separated by aliphatic regions were fabricated using methods similar to a procedure described by Kleinfeld et al. Test surfaces contained either a single or double positive charge/residue. Cyanine dyes (diIC18(3)) stained the background and cell membranes (Fig 1); however, identification of individual cells at higher densities was difficult (Fig 2). Nuclear staining with acriflavine allowed discrimination of individual cells and permitted automated counting of nuclei using 3-D data sets from the confocal microscope (Fig 3). For cell attachment assays, LRM5 5 astroglial cells and astrocytes in primary cell culture were plated at increasing cell densities on test substrates, incubated for 24 hr, fixed, stained, mounted on coverslips, and imaged with a 10x objective.

Going Beyond 3-D Imaging: Automated 3-D Montaged image Analysis of Cytological Specimens

1996 ◽  
Vol 54 ◽  
pp. 282-283
Author(s):  
Badrinath Roysam ◽  
Hakan Ancin ◽  
Douglas E. Becker ◽  
Robert W. Mackin ◽  
Matthew M. Chestnut ◽  
...  
Keyword(s):  
Image Analysis ◽  
Structural Changes ◽  
Sampling Methods ◽  
Spatial Clustering ◽  
Three Dimensional ◽  
Field Of View ◽  
Cell Counting ◽  
Depth Of Field ◽  
Tissue Cell ◽  
Tissue Organization

This paper summarizes recent advances made by this group in the automated three-dimensional (3-D) image analysis of cytological specimens that are much thicker than the depth of field, and much wider than the field of view of the microscope. The imaging of thick samples is motivated by the need to sample large volumes of tissue rapidly, make more accurate measurements than possible with 2-D sampling, and also to perform analysis in a manner that preserves the relative locations and 3-D structures of the cells. The motivation to study specimens much wider than the field of view arises when measurements and insights at the tissue, rather than the cell level are needed.The term “analysis” indicates a activities ranging from cell counting, neuron tracing, cell morphometry, measurement of tracers, through characterization of large populations of cells with regard to higher-level tissue organization by detecting patterns such as 3-D spatial clustering, the presence of subpopulations, and their relationships to each other. Of even more interest are changes in these parameters as a function of development, and as a reaction to external stimuli. There is a widespread need to measure structural changes in tissue caused by toxins, physiologic states, biochemicals, aging, development, and electrochemical or physical stimuli. These agents could affect the number of cells per unit volume of tissue, cell volume and shape, and cause structural changes in individual cells, inter-connections, or subtle changes in higher-level tissue architecture. It is important to process large intact volumes of tissue to achieve adequate sampling and sensitivity to subtle changes. It is desirable to perform such studies rapidly, with utmost automation, and at minimal cost. Automated 3-D image analysis methods offer unique advantages and opportunities, without making simplifying assumptions of tissue uniformity, unlike random sampling methods such as stereology.12 Although stereological methods are known to be statistically unbiased, they may not be statistically efficient. Another disadvantage of sampling methods is the lack of full visual confirmation - an attractive feature of image analysis based methods.

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