Sample Preparation and Imaging of Erythrocyte Cytoskeleton with the Atomic Force Microscopy

2003 ◽  
Vol 38 (3) ◽  
pp. 251-270 ◽  
Author(s):  
Fei Liu ◽  
Joel Burgess ◽  
Hiroshi Mizukami ◽  
Agnes Ostafin
2009 ◽  
Vol 12 (3) ◽  
pp. 939-949 ◽  
Author(s):  
Christopher M. Hoo ◽  
Trang Doan ◽  
Natasha Starostin ◽  
Paul E. West ◽  
Martha L. Mecartney

Author(s):  
Peng Liu ◽  
Ling Chen ◽  
Penny A Corrigan ◽  
Long Yu ◽  
Zhongdong Liu

This paper reviews the application of atomic force microscopy (AFM) to the study of starch structures, including both macrostructure of starch granules and the nanostructure of molecular chains. It introduces the different techniques of sample preparation and discusses what AFM could observe. The paper summarises the present situation of the application of AFM in the study of starch structures and guides the direction for further research.


2018 ◽  
Vol 57 (46) ◽  
pp. 15935-15941 ◽  
Author(s):  
Yunlong Zhang ◽  
Bruno Schuler ◽  
Shadi Fatayer ◽  
Leo Gross ◽  
Michael R. Harper ◽  
...  

Data in Brief ◽  
2016 ◽  
Vol 8 ◽  
pp. 1322-1332
Author(s):  
J. Bobrowska ◽  
J. Pabijan ◽  
J. Wiltowska-Zuber ◽  
B.R. Jany ◽  
F. Krok ◽  
...  

Biomedicines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 603
Author(s):  
Mladenka Malenica ◽  
Marija Vukomanović ◽  
Mario Kurtjak ◽  
Valentina Masciotti ◽  
Simone dal Zilio ◽  
...  

Extracellular vesicles (EVs) are nanometric membranous structures secreted from almost every cell and present in biofluids. Because EV composition reflects the state of its parental tissue, EVs possess an enormous diagnostic/prognostic potential to reveal pathophysiological conditions. However, a prerequisite for such usage of EVs is their detailed characterisation, including visualisation which is mainly achieved by atomic force microscopy (AFM) and electron microscopy (EM). Here we summarise the EV preparation protocols for AFM and EM bringing out the main challenges in the imaging of EVs, both in their natural environment as biofluid constituents and in a saline solution after EV isolation. In addition, we discuss approaches for EV imaging and identify the potential benefits and disadvantages when different AFM and EM methods are applied, including numerous factors that influence the morphological characterisation, standardisation, or formation of artefacts. We also demonstrate the effects of some of these factors by using cerebrospinal fluid as an example of human biofluid with a simpler composition. Here presented comparison of approaches to EV imaging should help to estimate the current state in morphology research of EVs from human biofluids and to identify the most efficient pathways towards the standardisation of sample preparation and microscopy modes.


2018 ◽  
Author(s):  
Yunlong Zhang ◽  
Bruno Schuler ◽  
Shadi Fatayer ◽  
Leo Gross ◽  
Michael R. Harper ◽  
...  

This study addresses the effect of sample preparation conditions on the structural integrity and composition of heavy hydrocarbon mixtures imaged by non-contact atomic force microscopy (nc-AFM). We designed and prepared a set of organic molecules mimicking well-accepted key characteristics of heavy oil asphaltenes including molecular architecture, molecular weight, boiling point, atomic H/C ratio and bond strength. We deliberately focused on multi-core molecule structures with long aliphatic linkers as this architecture was largely absent in previous nc-AFM studies of petroleum samples. The results confirm that all these molecules can be successfully imaged and remain intact under the same preparation conditions. Moreover, comparison with ultra-high resolution FT ICR-MS of a steam-cracked tar asphaltene sample suggests that the single molecules identified by nc-AFM span the entire molecule spectrum of the bulk sample. Overall, these results suggest that petroleum molecules within the scope of chosen molecules studied herein can be prepared intact and without bias and the imaged data can be representative.


Micron ◽  
2007 ◽  
Vol 38 (8) ◽  
pp. 782-786 ◽  
Author(s):  
Maria N. Starodubtseva ◽  
Tatyana G. Kuznetsova ◽  
Sergey A. Chizhik ◽  
Nicolai I. Yegorenkov

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