scholarly journals On the impact of competing intra- and intermolecular triplet-state quenching on photobleaching and photoswitching kinetics of organic fluorophores

2018 ◽  
Author(s):  
Jochem H. Smit ◽  
Jasper H. M. van der Velde ◽  
Jingyi Huang ◽  
Vanessa Trauschke ◽  
Sarah S. Henrikus ◽  
...  

AbstractWhile buffer cocktails remain the gold-standard for photostabilization and photoswitching of fluorescent markers, intramolecular triplet-state quenchers emerge as an alternative strategy to impart fluorophores with ‘self-healing’ or even functional properties such as photoswitching. In this contribution, we evaluated various combinations of both approaches and show that inter- and intramolecular triplet-state quenching processes compete with each other rather than being additive or even synergistic. Often intramolecular processes dominate the photophysical situation for combinations of covalently-linked and solution-based photostabilizers and photoswitching agents. In this context we identified a new function of intramolecular photostabilizers, i.e., protection of fluorophores from reversible off-switching events caused by solution-additives, which were previously misinterpreted as photobleaching. Our studies also provide practical guidance for usage of photostabilizer-dye conjugates for STORM-type super-resolution microscopy permitting the exploitation of their improved photophysics for increased spatio-temporal resolution. Finally, we provide evidence that the biochemical environment, e.g., proximity of aromatic amino-acids such as tryptophan, reduces the photostabilization efficiency of commonly used buffer cocktails. Not only have our results important implications for a deeper mechanistic understanding of self-healing dyes, but they will provide a general framework to select label positions for optimal and reproducible photostability or photoswitching kinetics.

2019 ◽  
Vol 21 (7) ◽  
pp. 3721-3733 ◽  
Author(s):  
Jochem H. Smit ◽  
Jasper H. M. van der Velde ◽  
Jingyi Huang ◽  
Vanessa Trauschke ◽  
Sarah S. Henrikus ◽  
...  

How photostabilizer molecules influence the photophysical properties of various organic fluorophores used for single-molecule and super-resolution imaging.


2018 ◽  
Author(s):  
Jasper H. M. van der Velde ◽  
Jochem Smit ◽  
Michiel Punter ◽  
Thorben Cordes

AbstractIn recent years optical microscopy techniques have emerged that allow optical imaging at unprecented resolution beyond the diffraction limit. Up to date, photostabilizing buffers are the method of choice to realize either photoswitching and/or to enhance the signal brightness and stability of the employed fluorescent probes. This strategy has, however, restricted applicability and is not suitable for live cell imaging. In this paper, we tested the performance of self-healing organic fluorophores with intramolecular photostabilization in super-resolution microscopy with targeted (STED) and stochastic readout (STORM). The overall goal of the study was to improve the spatial and temporal resolution of both techniques without the need for mixtures of photostabilizing agents in the imaging buffer. Due to its past superior performance we identified ATTO647N-photostabilizer conjugates as suitable candidates for STED microscopy. We characterize the photostability and resulting performance of NPA-ATTO647N oligonucleotide conjugates in STED microscopy. We find that the superior photophysical performance results in optimal STED imaging and demonstrate the possibility to obtain single-molecule fluorescent transients of individual fluorophores while illuminating with both the excitation- and STED-laser. Secondly, we show an analysis of photoswitching kinetics of self-healing Cy5 dyes (comprising TX, COT and NPA stabilizers) in the presence of TCEP- and cysteamine, which are typically used in STORM microscopy. In line with previous work, we find that intramolecular photostabilization strongly influences photoswitching kinetics and requires careful attention when designing STORM-experiments. In summary, this contribution explores the possibilities and limitations of self-healing dyes in super-resolution microscopy of differing modalities.


2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Luca Lanzanò ◽  
Iván Coto Hernández ◽  
Marco Castello ◽  
Enrico Gratton ◽  
Alberto Diaspro ◽  
...  

2018 ◽  
Vol 190 ◽  
pp. 04014
Author(s):  
Johannes Maier ◽  
Martti Pärs ◽  
Tina Weller ◽  
Mukundan Thelakkat ◽  
Jürgen Köhler

Photochromic molecules can be interconverted between two bistable conformations by light [1–3]. Irie and coworkers described a strategy to achieve superior fluorescence characteristics and outstanding switching characteristics of a photochromic unit by linking strong fluorophores covalently to photochromic building blocks [3,4]. Accordingly, we synthesised molecular triads that consist of two perylene bisimide (PBI) fluorophores covalently linked to a dithienylcyclopentene (DCP) photochromic switch, see fig. 1. Such kinds of triads are promising candidates for super-resolution microscopy like RESOLFT and PALM [5,6], or can be used as optical transistors or memories [4,7].


2012 ◽  
Vol 532-533 ◽  
pp. 1680-1684
Author(s):  
Meng He Li ◽  
Chuan Lin ◽  
Jing Bei Tian ◽  
Sheng Hui Pan

For the weakness of conventional POCS algorithms, a novel spatio-temporal adaptive super-resolution reconstruction algorithm of video is proposed in this paper. The spatio-temporal adaptive mechanism, which is based on POCS super-resolution reconstruction algorithm, can effectively prevent reconstructed image from the influence of inaccuracy of motion information and avoid the impact of noise amplification, which exist in using conventional POCS algorithms to reconstruct image sequences in dramatic motion. Experimental results show that the spatio-temporal adaptive algorithm not only effectively alleviate amplification noise but is better than the traditional POCS algorithms in signal to noise ration.


2021 ◽  
Author(s):  
Audrey Denizot ◽  
Misa Arizono ◽  
U. Valentin Nägerl ◽  
Hugues Berry ◽  
De Schutter Erik

AbstractCa2+ signals in astrocytes can trigger the modulation of neuronal activity. Recent developments in Ca2+ imaging and super-resolution microscopy have allowed to characterize the complex morphology of astrocyte branchlets that communicate with neurons and the associated Ca2+ microdomains. Here, we use computational tools to investigate the causal relationship between branchlet morphology and spatio-temporal profile of Ca2+ signals. 3D reticular branchlet geometries were designed, alternating between large (nodes) and thinner cellular compartments (shafts). Simulations confirm experimental observations that a decreased shaft width is associated with a decreased diffusion flux from nodes, enhancing local Ca2+ activity. Upon successive neuronal stimuli, a decreased shaft width facilitates signal propagation in astrocyte branchlets. We further identify parameters that decrease local Ca2+ activity, such as a discontinuous ER geometry and an increased Ca2+ buffering. Overall, this study proposes key parameters that regulate Ca2+ activity locally, potentially favoring neuron-astrocyte communication at tripartite synapses.


2021 ◽  
Author(s):  
Min Zhang ◽  
Henrik Dahl Pinholt ◽  
Xin Zhou ◽  
Soeren S-R Bohr ◽  
Luca Banneta ◽  
...  

Proteins misfolding and aggregation in the form of fibrils or amyloid containing spherulite-like structures, are involved in a spectrum of degenerative diseases. Current understanding of protein aggregation mechanism primarily relies on conventional spectrometric methods reporting the average growth rates and microscopy readouts of final structures, consequently masking the morphological and growth heterogeneity of the aggregates. Here we developed REal-time kinetics via binding and Photobleaching LOcalization Microscopy (REPLOM) super resolution method to observe directly and quantify the existence and abundance of diverse aggregation morphologies as well as the heterogeneous growth kinetics of each of them. Our results surprisingly revealed insulin aggregation is not exclusively isotropic, but it may also occur anisotropically. Combined with Machine learning we associated growth rates to specific morphological transitions and provided energy barriers and the energy landscape for each aggregation morphology. Our unifying framework of detection and analysis of spherulite growth can be extended to other protein systems and reveal their aggregation processes at single molecule level.


Acta Naturae ◽  
2017 ◽  
Vol 9 (4) ◽  
pp. 42-51
Author(s):  
S. S. Ryabichko ◽  
◽  
A. N. Ibragimov ◽  
L. A. Lebedeva ◽  
E. N. Kozlov ◽  
...  

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