scholarly journals Three Dimensional Super Resolution Fluorescence Imaging of Single Bacterial Cells by Stereo Photoactivated Localization Microscopy

2009 ◽  
Vol 15 (S2) ◽  
pp. 564-565 ◽  
Author(s):  
J Tang ◽  
A Vaziri ◽  
J Akerboom ◽  
L Looger ◽  
C Shank

Extended abstract of a paper presented at Microscopy and Microanalysis 2009 in Richmond, Virginia, USA, July 26 – July 30, 2009

PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e38098 ◽  
Author(s):  
Siddharth Nanguneri ◽  
Benjamin Flottmann ◽  
Heinz Horstmann ◽  
Mike Heilemann ◽  
Thomas Kuner

2019 ◽  
Vol 10 (24) ◽  
pp. 7811-7816 ◽  
Author(s):  
Wenjie Liu ◽  
Cuifang Kuang ◽  
Yifan Yuan ◽  
Zhimin Zhang ◽  
Youhua Chen ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Siewert Hugelier ◽  
Wim Vandenberg ◽  
Tomáš Lukeš ◽  
Kristin S. Grußmayer ◽  
Paul H. C. Eilers ◽  
...  

AbstractSub-diffraction or super-resolution fluorescence imaging allows the visualization of the cellular morphology and interactions at the nanoscale. Statistical analysis methods such as super-resolution optical fluctuation imaging (SOFI) obtain an improved spatial resolution by analyzing fluorophore blinking but can be perturbed by the presence of non-stationary processes such as photodestruction or fluctuations in the illumination. In this work, we propose to use Whittaker smoothing to remove these smooth signal trends and retain only the information associated to independent blinking of the emitters, thus enhancing the SOFI signals. We find that our method works well to correct photodestruction, especially when it occurs quickly. The resulting images show a much higher contrast, strongly suppressed background and a more detailed visualization of cellular structures. Our method is parameter-free and computationally efficient, and can be readily applied on both two-dimensional and three-dimensional data.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4708-4708
Author(s):  
Xiqin Tong ◽  
Weibing Kuang ◽  
Yuxing Liang ◽  
Fuling Zhou ◽  
Zhen li Huang

Abstract Multiple myeloma (MM) is a bone marrow-based malignancy that has a range of consequences resulting from either its direct effects on the bone marrow microenvironment- causing anaemia, more extensive myelosuppression and bone lysis - or its indirect effects on the kidney and other organ systems. Over the past several years, the introduction of autologous stem cell transplantation, immunomodulatory drugs, proteasome inhibitors, histone deacetylase inhibitors, and monoclonal antibodies has substantially improved survival outcomes. However, MM remains biologically heterogeneous with significant variability among patients in terms of clinical features, response to therapy and overall survival (OS). Several prognostic variables can help predict this variability in outcomes ranging from clinical based systems such as the International Staging System (ISS) to more advanced molecular characterizations of the myeloma PCs by cytogenetics and gene expression profiling. However with the advancement in technology utilized for laboratory testing and the emergence of new treatments for MM, there has been an evolution in the significance of these previously defined prognostic markers with time. Assessment of disease activity and depth of response continues to be a moving target in MM. Super-resolution fluorescence imaging is a major breakthrough in the field of optical imaging in this century. Super-resolution fluorescence imaging has been applied to a variety of biological imaging applications, including membrane, cytoskeletal and cytosolic proteins in fixed and living cells. Molecular motions can be quantified. To establish the detection limit and sensitivity threshold of dSTORM and FC, we used serial dilutions of anti-CD38 antibody to detect expression of CD38 on 8226 cells by Super Resolution localization Microscopy and flow cytometry (FC). Design six different antibody concentrations (300ng/ml, 30ng/ml, 10ng/ml, 3ng/ml, 1ng/ml, 0.3ng/ml) to label MM cells with immunofluorescence, and then detect them by flow cytometry. Similarly, design eight different antibody concentrations (1μg/ml, 300ng/ml, 30ng/ml, 10ng/ml, 3ng/ml, 1ng/ml, 0.3ng/ml, 0.1ng/ml), and perform the same treatment, perform immunofluorescence labeling on MM cells, and then perform super-resolution imaging, and calculate the density of CD38 protein on the surface of MM cells of each concentration. Figure 1A detects the ratio of the number of cells to the total number of cells, it can be seen from Figure 1A that when the antibody concentration is not less than 30ng/ml, almost all MM thinners can detect the signal, but when the antibody concentration is less than at 30ng/ml, only a few or no cells can detect the signal. This shows that when the antibody concentration is lower than 30ng/ml, the sensitivity of flow cytometry is no longer sufficient to detect CD38 protein on the surface of MM cells. From Figure 1B, it can be seen that even when the CD38 antibody concentration is 0.3ng/ml, super-resolution imaging can still accurately identify each CD38 antigen molecule on the surface of MM cells, and the statistical CD38 protein density is 8.5864±1.4180/μm2. This shows that the sensitivity of super-resolution is much higher than that of streaming. Disclosures No relevant conflicts of interest to declare.


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