Determination of the Mass Density Distribution Inside or on the Surface of a Body from the Measurement of the External Potential

2020 ◽  
pp. 349-354
Keyword(s):  
Density Distribution ◽  
Mass Density ◽  
External Potential

DETERMINATION OF EARTH’S MASS DENSITY DISTRIBUTION BASED ON SATELLITE DATA

2020 ◽  
Vol 9 (9) ◽  
pp. 7223-7233
Author(s):  
E. Prakash ◽  
V. Radhamani ◽  
S. P. R. Priyalatha
Keyword(s):  
Density Distribution ◽  
Satellite Data ◽  
Mass Density

scholarly journals Measuring the Autocorrelation Function of Nanoscale Three-Dimensional Density Distribution in Individual Cells Using Scanning Transmission Electron Microscopy, Atomic Force Microscopy, and a New Deconvolution Algorithm

2017 ◽  
Vol 23 (3) ◽  
pp. 661-667 ◽  
Author(s):  
Yue Li ◽  
Di Zhang ◽  
Ilker Capoglu ◽  
Karl A. Hujsak ◽  
Dhwanil Damania ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Density Distribution ◽  
Scanning Transmission Electron Microscopy ◽  
Mass Density ◽  
Three Dimensional ◽  
Force Microscopy ◽  
Statistical Measures ◽  
Atomic Force ◽  
Transmission Electron ◽  
Scanning Transmission

AbstractEssentially all biological processes are highly dependent on the nanoscale architecture of the cellular components where these processes take place. Statistical measures, such as the autocorrelation function (ACF) of the three-dimensional (3D) mass–density distribution, are widely used to characterize cellular nanostructure. However, conventional methods of reconstruction of the deterministic 3D mass–density distribution, from which these statistical measures can be calculated, have been inadequate for thick biological structures, such as whole cells, due to the conflict between the need for nanoscale resolution and its inverse relationship with thickness after conventional tomographic reconstruction. To tackle the problem, we have developed a robust method to calculate the ACF of the 3D mass–density distribution without tomography. Assuming the biological mass distribution is isotropic, our method allows for accurate statistical characterization of the 3D mass–density distribution by ACF with two data sets: a single projection image by scanning transmission electron microscopy and a thickness map by atomic force microscopy. Here we present validation of the ACF reconstruction algorithm, as well as its application to calculate the statistics of the 3D distribution of mass–density in a region containing the nucleus of an entire mammalian cell. This method may provide important insights into architectural changes that accompany cellular processes.

Microradiographical Determination of the Dry Mass Density in the Rat Retina1

2009 ◽  
Vol 71 (S208) ◽  
pp. 33c-39c
Author(s):  
Enping Chen ◽  
Jang-Hyun Chung ◽  
Per G. Söderberg ◽  
Bo Lindström
Keyword(s):  
Mass Density ◽  
Dry Mass

Age-Dependent Acoustic and Microelastic Properties of Red Blood Cells Determined by Vector Contrast Acoustic Microscopy

2012 ◽  
Vol 18 (3) ◽  
pp. 436-444 ◽  
Author(s):  
Esam T. Ahmed Mohamed ◽  
Albert E. Kamanyi ◽  
Mieczysław Pluta ◽  
Wolfgang Grill
Keyword(s):  
Red Blood Cells ◽  
Blood Cells ◽  
Mass Density ◽  
Healthy Person ◽  
Ultrasonic Waves ◽  
Acoustic Microscopy ◽  
Cell Parameters ◽  
Different Ages ◽  
The Individual

AbstractVariations of the mechanical properties of red blood cells that occur during their life span have long been an intriguing task for investigations. The research presented is based on noninvasive monitoring of red blood cells of different ages performed by scanning acoustic microscopy with magnitude and phase contrast. The characteristic signature of fixed cells from groups of three different ages fractionated according to mass density is obtained from the acoustic microscope images, with the data represented in polar graphs. The analysis of these data enables the determination of averaged values for the velocities of ultrasound propagating in the cells from the different groups ranging from (1,681 ± 16) m s−1in the youngest to (1,986 ± 20) m s−1in the oldest group. The determined bulk modulus varies with age from (3.04 ± 0.05) GPa to (4.34 ± 0.08) GPa. An approach to determine for an age-mixed population of red blood cells, collected from a healthy person, the age of the individual cells and the age dependence of the cell parameters including density, velocity, and attenuation of longitudinal polarized ultrasonic waves traveling in the cells is demonstrated.

Sign in / Sign up

Export Citation Format

Share Document