Cascade photocaging of diazeniumdiolate: a novel strategy for one and two photon triggered uncaging with real time reporting

Focus on this issue of disturbance and fault value is inevitable in data collection about analog circuit. A novel strategy is developed for analog circuit online performance evaluation based on fuzzy learning and double weighted support vector machine (DWMK-FSVM). First, the double weighted support vector regression machine is employed to be the indirect evaluation means, relied on the college analog electronic technology experiment to evaluate analog circuit. Second, the superiority of fuzzy learning also is addressed to realize active suppression to the fault values and disturbance parameters. Moreover, the multikernel RBF is employed by support vector regression machine to realize more flexibility online such as the bandwidths tuning. Numerical results, supported by the college analog circuit experiments, adopted OTL performance eight indexes, which were obtained via precision instrument evaluation in two years to construct training set and are then to be evaluated online based on DWMK-FSVM. Simulation results presented not only highlight precision of the evaluation strategy derived here but also illustrate its great robustness.

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A water-soluble benzoxazole-based probe: Real-time monitoring PPi via situ reaction by two-photon cells imaging

Talanta ◽

10.1016/j.talanta.2018.11.036 ◽

2019 ◽

Vol 195 ◽

pp. 158-164 ◽

Cited By ~ 4

Author(s):

Dan Liu ◽

Sheng Liu ◽

Xinyu Zhang ◽

Qiong Zhang ◽

Jianhua Yu ◽

...

Keyword(s):

Real Time ◽

Water Soluble ◽

Real Time Monitoring ◽

Two Photon

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NIR-Responsive Lysosomotropic Phototrigger: ʽAIE + ESIPTʼ Active Naphthalene Based Single Component Photoresponsive Nanocarrier with Two-Photon Uncaging and Real-Time Monitoring Ability

10.33774/chemrxiv-2021-nftrb ◽

2021 ◽

Author(s):

Biswajit Roy ◽

Rakesh Mengji ◽

Samrat Roy ◽

Bipul Pal ◽

Avijit Jana ◽

...

Keyword(s):

Drug Delivery ◽

Drug Release ◽

Real Time ◽

Near Infrared ◽

Single Component ◽

Photon Absorption ◽

Real Time Monitoring ◽

Two Photon ◽

Nir Light

In recent times, organelle-targeted drug delivery systems gained tremendous attention due to the site specific delivery of active drug molecules resulting in enhanced bioefficacy. In this context, the phototriggered drug delivery system (DDS) for releasing an active molecule is superior as it provides spatial and temporal control over the release. So far, near infrared (NIR) light responsive organelle targeted DDS has not yet been developed. Hence, we introduced a two-photon NIR-light responsive lysosome targeted ʽAIE + ESIPTʼ active single component DDS based on naphthalene chromophore. The Two-photon absorption cross-section of our DDS is 142 GM at 850 nm. The DDS was converted into pure organic nanoparticles for biological applications. Our nano-DDS is capable of selective targeting, AIE-luminogenic imaging, and drug release within the lysosome. In vitro studies using cancerous cell lines showed that our single component photoresponsive nanocarrier exhibited enhanced cytotoxicity and real-time monitoring ability of the drug release.

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BODIPY-Based Two-Photon Fluorescent Probe for Real-Time Monitoring of Lysosomal Viscosity with Fluorescence Lifetime Imaging Microscopy

Analytical Chemistry ◽

10.1021/acs.analchem.8b00590 ◽

2018 ◽

Vol 90 (9) ◽

pp. 5873-5878 ◽

Cited By ~ 47

Author(s):

Ling-Ling Li ◽

Kun Li ◽

Meng-Yang Li ◽

Lei Shi ◽

Yan-Hong Liu ◽

...

Keyword(s):

Real Time ◽

Fluorescent Probe ◽

Fluorescence Lifetime ◽

Fluorescence Lifetime Imaging Microscopy ◽

Fluorescence Lifetime Imaging ◽

Real Time Monitoring ◽

Two Photon ◽

Lifetime Imaging

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Ultrabright Organic Dots with Aggregation-Induced Emission Characteristics for Real-Time Two-Photon Intravital Vasculature Imaging

Advanced Materials ◽

10.1002/adma.201301938 ◽

2013 ◽

Vol 25 (42) ◽

pp. 6083-6088 ◽

Cited By ~ 195

Author(s):

Dan Ding ◽

Chi Ching Goh ◽

Guangxue Feng ◽

Zujin Zhao ◽

Jie Liu ◽

...

Keyword(s):

Real Time ◽

Emission Characteristics ◽

Aggregation Induced Emission ◽

Two Photon

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Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1812995116 ◽

2019 ◽

Vol 116 (17) ◽

pp. 8554-8563 ◽

Cited By ~ 16

Author(s):

Somayyeh Soltanian-Zadeh ◽

Kaan Sahingur ◽

Sarah Blau ◽

Yiyang Gong ◽

Sina Farsiu

Keyword(s):

Real Time ◽

Calcium Imaging ◽

Large Scale ◽

Cortical Layer ◽

Fast Method ◽

Active Neuron ◽

Neuronal Coding ◽

Two Photon ◽

Neuron Density

Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies for discovery of neuronal coding properties. Here, to exploit the full spatiotemporal information in two-photon calcium imaging movies, we propose a 3D convolutional neural network to identify and segment active neurons. By utilizing a variety of two-photon microscopy datasets, we show that our method outperforms state-of-the-art techniques and is on a par with manual segmentation. Furthermore, we demonstrate that the network trained on data recorded at a specific cortical layer can be used to accurately segment active neurons from another layer with different neuron density. Finally, our work documents significant tabulation flaws in one of the most cited and active online scientific challenges in neuron segmentation. As our computationally fast method is an invaluable tool for a large spectrum of real-time optogenetic experiments, we have made our open-source software and carefully annotated dataset freely available online.

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