ESTIMATION OF PARAMETERS IN A PLANAR SEGMENT PROCESS WITH A BIOLOGICAL APPLICATION

Viktor Benes; Jakub Vecera; Benjamin Eltzner; Carina Wollnik; Florian Rehfeldt; Veronika Kralova; Stephan Huckemann

doi:10.5566/ias.1627

ESTIMATION OF PARAMETERS IN A PLANAR SEGMENT PROCESS WITH A BIOLOGICAL APPLICATION

Image Analysis & Stereology ◽

10.5566/ias.1627 ◽

2017 ◽

Vol 36 (1) ◽

pp. 25 ◽

Cited By ~ 1

Author(s):

Viktor Benes ◽

Jakub Vecera ◽

Benjamin Eltzner ◽

Carina Wollnik ◽

Florian Rehfeldt ◽

...

Keyword(s):

Stem Cells ◽

Length Distribution ◽

Simulated Data ◽

Real Data ◽

Biological Application ◽

Human Stem Cells ◽

Estimation Of Parameters ◽

Fit Testing ◽

A Cell ◽

Segment Process

The paper deals with modeling of segment systems in a bounded planar set (a cell) by means of random segment processes. Two models with a density with respect to the Poisson process are presented. In model I interactions are given by the number of intersections, model II includes the length distribution and takes into account distances from the centre of the cell. The estimation of parameters of the models is suggested based on Takacz-Fiksel method. The method is tested first using simulated data. Further the real data from fluorescence imaging of stress fibres in mesenchymal human stem cells are evaluated. We apply model II which is inhomogeneous. The degree-of-fit testing of the model using various characteristics yields quite satisfactory results.

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Infections Independent of Contamination: From Organic Matter, Evolution or Stem Cells

Applied Cell Biology ◽

10.53043/2320-1991.acb90010 ◽

2021 ◽

Vol 9 (3) ◽

Author(s):

Alen J Salerian

Keyword(s):

Stem Cells ◽

Organic Matter ◽

Viral Infections ◽

Opportunistic Infections ◽

Human Stem Cells ◽

A Cell ◽

Human Infections ◽

Human Flora ◽

Diverse Data ◽

Micro Organisms

This study presents evidence to propose that some human infections may derive Independent of contamination by invading pathogens. Diverse data suggest multiple pathways Independent of contamination may generate human infections. For instance, the first microorganisms that emerged from lifeless organic matter 3.6 billion years ago indicated transformation of lifeless organic matter to micro organisms. Viral infections do correspondent to a lifeless protein particle in a cell of a complex multi- cellular organism reproducing and spreading infections to other complex multi- cellular organisms. Some microbes -such as pseudomonas aeruginosa with a larger genome and greater functional complexity than common bacteria -may evolve from human flora as observed in mammalian decomposition in sterile soil. For, decomposer species are not foreign Invaders from the environment and they represent evolution of common microorganisms during mammalian decomposition. Human cells may produce microorganisms consistent with a proven genetic link between humans cells and the Christensenellaceae (a family in the phylum Firmicutes). Human stem cells which are capable to differentiate to epithelial cells and cancer and have the essentials to produce microbes are the most likely candidates to produce microorganisms. What may be almost certain and not experimentally validated is the possibility that infections have multiple pathways of origin independent of contamination. Most nosocomial and opportunistic infections may be endogenous. Our knowledge may demolish the dogma of contamination by foreign microbes as the exclusive source of infections and pave novel avenues to prevent and treat diverse infections.

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Effective Gene Delivery into Human Stem Cells with a Cell-Targeting Peptide-Modified Bioreducible Polymer

Small ◽

10.1002/smll.201402933 ◽

2014 ◽

Vol 11 (17) ◽

pp. 2069-2079 ◽

Cited By ~ 21

Author(s):

Jagadish Beloor ◽

Suresh Ramakrishna ◽

Kihoon Nam ◽

Chang Seon Choi ◽

Jongkil Kim ◽

...

Keyword(s):

Stem Cells ◽

Gene Delivery ◽

Cell Targeting ◽

Human Stem Cells ◽

A Cell ◽

Targeting Peptide

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Comparison of human stem cells derived from various mesenchymal tissues: Superiority of synovium as a cell source

Arthritis & Rheumatism ◽

10.1002/art.21212 ◽

2005 ◽

Vol 52 (8) ◽

pp. 2521-2529 ◽

Cited By ~ 975

Author(s):

Yusuke Sakaguchi ◽

Ichiro Sekiya ◽

Kazuyoshi Yagishita ◽

Takeshi Muneta

Keyword(s):

Stem Cells ◽

Human Stem Cells ◽

Cell Source ◽

A Cell

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A Novel Approach to Increase the Goodness of Fits with an Application to Real and Simulated Data Sets

Mathematical Problems in Engineering ◽

10.1155/2021/9717872 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Muhammad Farooq ◽

Qamruz zaman ◽

Muhammad Ijaz ◽

Said Farooq Shah ◽

Mutua Kilai

Keyword(s):

Weibull Distribution ◽

Extreme Values ◽

Probability Distributions ◽

Probability Model ◽

Simulated Data ◽

Real Data ◽

Data Sets ◽

Estimation Of Parameters ◽

Novel Approach ◽

Lifetime Analysis

In practice, the data sets with extreme values are possible in many fields such as engineering, lifetime analysis, business, and economics. A lot of probability distributions are derived and presented to increase the model flexibility in the presence of such values. The current study also focuses on investigations to derive a new probability model New Flexible Family (NFF) of distributions. The significance of NFF is carried out using the Weibull distribution called New Flexible Weibull distribution or in short NFW. Various mathematical properties of NFW have been discussed including the estimation of parameters and entropy measures. Two real data sets with extreme values and a simulation study have been conducted so as to delineate the importance of NFW. Furthermore, NFW is compared with other existing probability distributions; numerically, it has been observed that the new mechanism of producing the lifetime probability distributions plays a significant role in making predictions about the population than others using the data sets with extreme values.

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Three-dimensional imaging of human stem cells using soft X-ray tomography

Journal of The Royal Society Interface ◽

10.1098/rsif.2015.0252 ◽

2015 ◽

Vol 12 (108) ◽

pp. 20150252 ◽

Cited By ~ 12

Author(s):

J. C. Niclis ◽

S. V. Murphy ◽

D. Y. Parkinson ◽

A. Zedan ◽

A. H. Sathananthan ◽

...

Keyword(s):

Stem Cells ◽

Spatial Resolution ◽

Three Dimensional ◽

Surface Protein ◽

Human Stem Cells ◽

Three Dimensional Imaging ◽

X Ray ◽

Antibody Staining ◽

Excellent Spatial Resolution ◽

A Cell

Three-dimensional imaging of human stem cells using transmission soft X-ray tomography (SXT) is presented for the first time. Major organelle types—nuclei, nucleoli, mitochondria, lysosomes and vesicles—were discriminated at approximately 50 nm spatial resolution without the use of contrast agents, on the basis of measured linear X-ray absorption coefficients and comparison of the size and shape of structures to transmission electron microscopy (TEM) images. In addition, SXT was used to visualize the distribution of a cell surface protein using gold-labelled antibody staining. We present the strengths of SXT, which include excellent spatial resolution (intermediate between that of TEM and light microscopy), the lack of the requirement for fixative or contrast agent that might perturb cellular morphology or produce imaging artefacts, and the ability to produce three-dimensional images of cells without microtome sectioning. Possible applications to studying the differentiation of human stem cells are discussed.

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