Bark Roughness as A Factor Affecting Cell Density Of Epiphytic Microalgae (Apatococcus Sp)

SummaryThe size, total protein, fibrinogen and 5-HT content were evaluated in density subpopulations of human and canine platelets fractionated in linear arabinogalactan gradients. The methodology was assessed to ascertain that platelet separation was by density and to discard artifactual changes and platelet release during the procedure. EDTA or PGEi increased the size of human PRP-platelets, but not of dog platelets. In humans, high density (HD) platelets were 1.26 times larger and contained 1.88 times more fibrinogen, 2.23 times more 5-HT and 1.37 times more protein than low density (LD) platelets; in dogs, these density cohorts did not differ in protein content, but LD platelets were 1.29 times larger and had 1.33 times more fibrinogen and 5-HT than HD platelets. These findings suggest that cell density is mostly dependent on the protein content per unit volume of platelets (and not on dense bodies). The differences in fibrinogen and 5-HT content between HD and LD cohorts in humans and dogs may be related to platelet age. The difference in volume between HD and LD platelets in dogs is of uncertain interpretation.

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Maternal high fat diet (HFD) in the adult offspring brain modifies cell density and neuronal density

Reproduction Abstracts ◽

10.1530/repabs.3.o020 ◽

2016 ◽

Author(s):

Diego Ojeda Pedraza ◽

Kate Jane-Coupe ◽

Megan Earl ◽

Oliver Hutton ◽

Judith Eckert ◽

...

Keyword(s):

Cell Density ◽

High Fat Diet ◽

Adult Offspring ◽

High Fat ◽

Neuronal Density

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Changes in the Population Density of Pathogenic Microorganisms in Response to the Allelopathic Effect of Thypha Latifolia

Agricultural science and practice ◽

10.15407/agrisp1.01.031 ◽

2014 ◽

Vol 1 (1) ◽

pp. 31-36 ◽

Cited By ~ 3

Author(s):

O. Zhukorskiy ◽

O. Gulay ◽

V. Gulay ◽

N. Tkachuk

Keyword(s):

Cell Density ◽

Allelopathic Effect ◽

Pathogenic Microorganisms ◽

Sterile Water ◽

Erysipelothrix Rhusiopathiae ◽

Pathogenic Leptospira ◽

Favorable Conditions ◽

And Control ◽

The Impact ◽

Control Samples

Aim. To determine the response of the populations of Erysipelothrix rhusiopathiae and Leptospira interrogans pathogenic microorganisms to the impact of broadleaf cattail (Thypha latifolia) root diffusates. Methods. Aqueous solutions of T. latifolia root diffusates were sterilized by vacuum fi ltration through the fi lters with 0.2-micron pore diameter. The experimental samples contained cattail secretions, sterile water, and cultures of E. rhusiopathiae or L. interrogans. The same amount of sterile water, as in the experimental samples, was used for the purpose of control, and the same quantity of microbial cultures was added in it. After exposure, the density of cells in the experimental and control samples was determined. Results. Root diffusates of T. latifolia caused an increase in cell density in the populations of E. rhusiopathiae throughout the whole range of the studied dilutions (1:10–1:10000). In the populations of the 6 studied serological variants of L. interrogans spirochetes (pomona, grippotyphosa, copenhageni, kabura, tarassovi, canicola), the action of broadleaf cattail root diffusates caused the decrease in cell density. A stimulatory effect was marked in the experimental samples of the pollonica serological variant of leptospira. Conclusions. The populations of E. rhusiopathiae and L. interrogans pathogenic microorganisms respond to the allelopathic effect of Thypha latifolia by changing the cell density. The obtained results provide the background to assume that broadleaf cattail thickets create favorable conditions for the existence of E. rhusiopathiae pathogen bacteria. The reduced cell density of L. interrogans in the experimental samples compared to the control samples observed under the infl uence of T. latifolia root diffusates suggests that reservoirs with broadleaf cattail thickets are marked by the unfavorable conditions for the existence of pathogenic leptospira (except L. pollonica).

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Pathology image-based lung cancer subtyping using deeplearning features and cell-density maps

Electronic Imaging ◽

10.2352/issn.2470-1173.2020.10.ipas-064 ◽

2020 ◽

Vol 2020 (10) ◽

pp. 64-1-64-5

Author(s):

Mustafa I. Jaber ◽

Christopher W. Szeto ◽

Bing Song ◽

Liudmila Beziaeva ◽

Stephen C. Benz ◽

...

Keyword(s):

Lung Cancer ◽

Cell Density ◽

Majority Voting ◽

Training Set ◽

Density Maps ◽

Color Deconvolution ◽

Map Generation ◽

Density Map ◽

Pathology Image ◽

Whole Slide Images

In this paper, we propose a patch-based system to classify non-small cell lung cancer (NSCLC) diagnostic whole slide images (WSIs) into two major histopathological subtypes: adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). Classifying patients accurately is important for prognosis and therapy decisions. The proposed system was trained and tested on 876 subtyped NSCLC gigapixel-resolution diagnostic WSIs from 805 patients – 664 in the training set and 141 in the test set. The algorithm has modules for: 1) auto-generated tumor/non-tumor masking using a trained residual neural network (ResNet34), 2) cell-density map generation (based on color deconvolution, local drain segmentation, and watershed transformation), 3) patch-level feature extraction using a pre-trained ResNet34, 4) a tower of linear SVMs for different cell ranges, and 5) a majority voting module for aggregating subtype predictions in unseen testing WSIs. The proposed system was trained and tested on several WSI magnifications ranging from x4 to x40 with a best ROC AUC of 0.95 and an accuracy of 0.86 in test samples. This fully-automated histopathology subtyping method outperforms similar published state-of-the-art methods for diagnostic WSIs.

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