The power in your pocket – uncover smartphones for use as cutting-edge microscopic instruments in science and research

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Haoran Wang ◽  
Rainer Heintzmann ◽  
Benedict Diederich

Abstract Since the development of the first light microscope over 400 years ago, the technology has continuously evolved and established itself as a powerful tool, especially in biology, diagnostics and point-of-care (PoC) applications. The miniaturization of mass-produced actuators and sensors enables the use of technically extremely complex functions in smartphones at a very low price. They can be used to implement modern microscopy methods for use in places where access to such techniques is often very limited. In this review, we show how easy it is to integrate a smartphone into the everyday microscopy-imaging routines of biology research. Such devices have also been used to identify diseases directly at the patient. Furthermore, we demonstrate how constantly increasing computing power in combination with the steadily improving imaging quality of cameras of handheld devices enables the realization of new biomedical imaging methods, which together with commercially available and 3D-printed components make current research available to a broad mass. Examples are smartphone-based super-resolution microscopy (SRM) or task-specific single-board computer-based devices, which can analyze plankton in sea water.

2017 ◽  
Vol 9 (33) ◽  
pp. 27575-27586 ◽  
Author(s):  
Anthony Fernandez ◽  
Markville Bautista ◽  
Ramunas Stanciauskas ◽  
Taerin Chung ◽  
Fabien Pinaud

2018 ◽  
Author(s):  
Hongqiang Ma ◽  
Wei Jiang ◽  
Jianquan Xu ◽  
Yang Liu

ABSTRACTSuper-resolution localization microscopy allows visualization of biological structure at nanoscale resolution. However, the presence of heterogeneous background can degrade the nanoscale resolution by tens of nanometers and introduce significant image artifacts. Here we develop a new approach, referred to as extreme value based emitter recovery (EVER), to accurately recover the distorted fluorescent emitters from heterogeneous background. Through numerical simulation and biological experiments, we demonstrate that EVER significantly improves the accuracy and fidelity of the reconstructed super-resolution image for a wide variety of imaging characteristics. EVER requires no manual adjustment of parameters and is implemented as an easy-to-use ImageJ plugin that can immediately enhance the quality of super-resolution images. Our method paves the way for accurate nanoscale imaging of samples with heterogeneous background fluorescence, such as thicker tissue and cells.


2021 ◽  
Vol 12 (5) ◽  
pp. 2617
Author(s):  
Dario Cevoli ◽  
Raffaele Vitale ◽  
Wim Vandenberg ◽  
Siewert Hugelier ◽  
Robin Van den Eynde ◽  
...  

2017 ◽  
Vol 112 (3) ◽  
pp. 143a
Author(s):  
Ottavia Golfetto ◽  
Devin L. Wakefield ◽  
Eliedonna E. Cacao ◽  
Kendra N. Avery ◽  
Raphael Jorand ◽  
...  

2021 ◽  
Vol 22 (13) ◽  
pp. 6730
Author(s):  
Paweł Matryba ◽  
Kacper Łukasiewicz ◽  
Monika Pawłowska ◽  
Jacek Tomczuk ◽  
Jakub Gołąb

The rapid development of super-resolution microscopy (SRM) techniques opens new avenues to examine cell and tissue details at a nanometer scale. Due to compatibility with specific labelling approaches, in vivo imaging and the relative ease of sample preparation, SRM appears to be a valuable alternative to laborious electron microscopy techniques. SRM, however, is not free from drawbacks, with the rapid quenching of the fluorescence signal, sensitivity to spherical aberrations and light scattering that typically limits imaging depth up to few micrometers being the most pronounced ones. Recently presented and robustly optimized sets of tissue optical clearing (TOC) techniques turn biological specimens transparent, which greatly increases the tissue thickness that is available for imaging without loss of resolution. Hence, SRM and TOC are naturally synergistic techniques, and a proper combination of these might promptly reveal the three-dimensional structure of entire organs with nanometer resolution. As such, an effort to introduce large-scale volumetric SRM has already started; in this review, we discuss TOC approaches that might be favorable during the preparation of SRM samples. Thus, special emphasis is put on TOC methods that enhance the preservation of fluorescence intensity, offer the homogenous distribution of molecular probes, and vastly decrease spherical aberrations. Finally, we review examples of studies in which both SRM and TOC were successfully applied to study biological systems.


2021 ◽  
Author(s):  
Anna Maria Ranieri ◽  
Matteo Vezzelli ◽  
Kathryn Leslie ◽  
Song Huang ◽  
Stefano Stagni ◽  
...  

There is a lack of molecular probes for imaging bacteria, in comparison to the array of such tools available for the imaging of mammalian cells. Here, organometallic molecular probes have been developed and assessed for bacterial imaging, designed to have the potential to support multiple imaging modalities. The chemical structure of the probes is designed around a metal-naphthalimide structure. The 4-amino-1,8-naphthalimide moiety, covalently appended through a pyridine ancillary ligand, acts as a luminescent probe for super-resolution microscopy. On the other hand, the metal centre, rhenium(I) or platinum(II) in the current study, enables techniques such as nanoSIMS. While the rhenium(I) complex was not sufficiently stable to be used as probe, the platinum(II) analogue showed good chemical and biological stability. Structured illumination microscopy (SIM) imaging on live <i>Bacillus cereus</i> confirmed the suitability of the probe for super-resolution microscopy. NanoSIMS analysis was used to monitor the uptake of the platinum(II) complex within the bacteria and demonstrate the potential of this chemical architecture to enable multimodal imaging. The successful combination of these two moieties introduces a platform that could lead to a versatile range of multi-functional probes for bacteria.<br>


Methods ◽  
2016 ◽  
Vol 105 ◽  
pp. 44-55 ◽  
Author(s):  
Mariya Georgieva ◽  
Diego I. Cattoni ◽  
Jean-Bernard Fiche ◽  
Thibaut Mutin ◽  
Delphine Chamousset ◽  
...  

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