scholarly journals The nanomorphology of cell surfaces of adhered osteoblasts

2021 ◽  
Vol 12 ◽  
pp. 242-256
Author(s):  
Christian Voelkner ◽  
Mirco Wendt ◽  
Regina Lange ◽  
Max Ulbrich ◽  
Martina Gruening ◽  
...  

The functionality of living cells is inherently linked to subunits with dimensions ranging from several micrometers down to the nanometer scale. The cell surface plays a particularly important role. Electric signaling, including information processing, takes place at the membrane, as well as adhesion and contact. For osteoblasts, adhesion and spreading are crucial processes with regard to bone implants. Here we present a comprehensive characterization of the 3D nanomorphology of living, as well as fixed, osteoblastic cells using scanning ion conductance microscopy (SICM), which is a nanoprobing method that largely avoids mechanical perturbations. Dynamic ruffles are observed, manifesting themselves in characteristic membrane protrusions. They contribute to the overall surface corrugation, which we systematically study by introducing the relative 3D excess area as a function of the projected adhesion area. A clear anticorrelation between the two parameters is found upon analysis of ca. 40 different cells on glass and on amine-covered surfaces. At the rim of lamellipodia, characteristic edge heights between 100 and 300 nm are observed. Power spectral densities of membrane fluctuations show frequency-dependent decay exponents with absolute values greater than 2 on living osteoblasts. We discuss the capability of apical membrane features and fluctuation dynamics in aiding the assessment of adhesion and migration properties on a single-cell basis.

2013 ◽  
Vol 104 (2) ◽  
pp. 317a
Author(s):  
Yusuke Mizutani ◽  
Zen Ishikura ◽  
Myung-Hoon Choi ◽  
Sang-Joon Cho ◽  
Takaharu Okajima

Micron ◽  
2016 ◽  
Vol 83 ◽  
pp. 11-18 ◽  
Author(s):  
Elisabetta Tognoni ◽  
Paolo Baschieri ◽  
Cesare Ascoli ◽  
Monica Pellegrini ◽  
Mario Pellegrino

2013 ◽  
Vol 53 (supplement1-2) ◽  
pp. S194
Author(s):  
Zen Ishikura ◽  
Yusuke Mizutani ◽  
Kaori Kuribayashi-Shigetomi ◽  
Yuuki Fujii ◽  
Myung-Hoon Choi ◽  
...  

Lubricants ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 8
Author(s):  
Marzieh Salehi ◽  
Jacques W. M. Noordermeer ◽  
Louis A. E. M. Reuvekamp ◽  
Anke Blume

Tire performance is determined based on the interaction between the tire and the road as a counter-surface, and is of the utmost importance for driving safety. When studying tire friction and abrasion, the characteristics of the roads/counter-surfaces are crucial. The excitations on the tire come from the road asperities. A proper characterization of the counter-surface texture is, therefore, an absolute necessity in order to optimize tire performance. The present study provides the required knowledge over the counter-surfaces employed as common substrates in a Laboratory Abrasion Tester (LAT100), which are typically based on embedded corundum particles for dry/wet friction and abrasion experiments. All surfaces are scanned and characterized by laser microscopy. The surface micro and macro roughness/textures are evaluated and compared with asphalt and concrete as the real roads by power spectral densities (PSD). The reliability of the high-frequency data based on the device type should be considered carefully. The reliable cut-off wavenumber of the PSDs is investigated based on image analyses on the range of tested frequency for micro and macro textures obtained by optical scanning devices. The influence of the texture wavelength range on the rubber−surface interaction is studied on a laboratory scale.


2012 ◽  
Vol 26 (05) ◽  
pp. 1130003 ◽  
Author(s):  
FRANKLIN ANARIBA ◽  
JOON HYUNG ANH ◽  
GOO-EUN JUNG ◽  
NAM-JOON CHO ◽  
SANG-JOON CHO

Scanning probe microscopy (SPM) techniques represent one of the most promising approaches to probe the physical and chemical properties of nanoscale materials. The growing convergence of physics and biology has demanded nanotechnology tools to understand the fundamental physics of biological systems. Despite the advantages of SPM techniques, there have been challenges with its application to characterization of biological specimens. In recent times, the development of one class of SPM technique, scanning ion conductance microscopy (SICM), has overcome these limitations and enabled noninvasive, nanoscale investigation of live cells. In this review article, we present the theory behind the SICM operating principles and data modeling. Based on this framework, we discuss recent research advances where the SICM technique has proven technically superior. SICM applications discussed herein include imaging of cell topography, monitoring of live cell dynamics, mechanical stimulation of live cells, and surface patterning. Additional findings on the combination of SICM with other SPM techniques as well as patch clamp electrophysiology are presented in the context of building integrated knowledge on the structure and function of live cells. In summary, SICM bridges physics and biology to enable a range of important biomedical applications.


2002 ◽  
Vol 74 (11) ◽  
pp. 2612-2616 ◽  
Author(s):  
Andreas Bruckbauer ◽  
Liming Ying ◽  
Alison M. Rothery ◽  
Yuri E. Korchev ◽  
David Klenerman

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Arthur Ruggles ◽  
Eric M. Moore ◽  
Michael Shehane

Data from a low pressure air test facility are used to quantify the influence of the acoustic field in the main line on side branch resonance behavior. The main line of diameter = 7.6 cm may accumulate acoustic energy broadcast from a resonating branch of diameter = 1.9 cm ( = 0.25). The side branch resonance amplitude is a strong function of branch position along the main line with the normalized pressure rising to 1.2 in the most favorable branch positions with Strouhal number near 0.3. Large time variation of the side branch and main line resonance amplitude is apparent for most branch positions. A moving window is used on the time history to collect an array of power spectral densities (PSDs). Peak amplitude values from the PSD array are represented in a probability density function (PDF) that provides a repeatable characterization of data from the system.


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