Bright AIEgen–Protein Hybrid Nanocomposite for Deep and High‐Resolution In Vivo Two‐Photon Brain Imaging

2019 ◽  
Vol 29 (29) ◽  
pp. 1902717 ◽  
Author(s):  
Shaowei Wang ◽  
Fang Hu ◽  
Yutong Pan ◽  
Lai Guan Ng ◽  
Bin Liu
Author(s):  
Congping Chen ◽  
Zhongya Qin ◽  
Sicong He ◽  
Wanjie Wu ◽  
Ye Wang ◽  
...  

2018 ◽  
Vol 9 (10) ◽  
pp. 2705-2710 ◽  
Author(s):  
Wei Qin ◽  
Pengfei Zhang ◽  
Hui Li ◽  
Jacky W. Y. Lam ◽  
Yuanjing Cai ◽  
...  

A successful strategy for the design of ultrabright red luminogens with aggregation-induced emission (AIE) features is reported. The AIE dots can be utilized as efficient fluorescent probes for in vivo deep-tissue imaging with high penetration depth and high contrast.


2019 ◽  
Vol 29 (15) ◽  
pp. 1808365 ◽  
Author(s):  
Shaowei Wang ◽  
Jie Liu ◽  
Guangxue Feng ◽  
Lai Guan Ng ◽  
Bin Liu

2020 ◽  
Vol 6 (40) ◽  
pp. eabc6521 ◽  
Author(s):  
Zhongya Qin ◽  
Congping Chen ◽  
Sicong He ◽  
Ye Wang ◽  
Kam Fai Tam ◽  
...  

Optical deep-brain imaging in vivo at high resolution has remained a great challenge over the decades. Two-photon endomicroscopy provides a minimally invasive approach to image buried brain structures, once it is integrated with a gradient refractive index (GRIN) lens embedded in the brain. However, its imaging resolution and field of view are compromised by the intrinsic aberrations of the GRIN lens. Here, we develop a two-photon endomicroscopy by adding adaptive optics based on direct wavefront sensing, which enables recovery of diffraction-limited resolution in deep-brain imaging. A new precompensation strategy plays a critical role to correct aberrations over large volumes and achieve rapid random-access multiplane imaging. We investigate the neuronal plasticity in the hippocampus, a critical deep brain structure, and reveal the relationship between the somatic and dendritic activity of pyramidal neurons.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Julia G. Mannheim ◽  
Ju-Chieh (Kevin) Cheng ◽  
Nasim Vafai ◽  
Elham Shahinfard ◽  
Carolyn English ◽  
...  

Abstract Background The Siemens high-resolution research tomograph (HRRT - a dedicated brain PET scanner) is to this day one of the highest resolution PET scanners; thus, it can serve as useful benchmark when evaluating performance of newer scanners. Here, we report results from a cross-validation study between the HRRT and the whole-body GE SIGNA PET/MR focusing on brain imaging. Phantom data were acquired to determine recovery coefficients (RCs), % background variability (%BG), and image voxel noise (%). Cross-validation studies were performed with six healthy volunteers using [11C]DTBZ, [11C]raclopride, and [18F]FDG. Line profiles, regional time-activity curves, regional non-displaceable binding potentials (BPND) for [11C]DTBZ and [11C]raclopride scans, and radioactivity ratios for [18F]FDG scans were calculated and compared between the HRRT and the SIGNA PET/MR. Results Phantom data showed that the PET/MR images reconstructed with an ordered subset expectation maximization (OSEM) algorithm with time-of-flight (TOF) and TOF + point spread function (PSF) + filter revealed similar RCs for the hot spheres compared to those obtained on the HRRT reconstructed with an ordinary Poisson-OSEM algorithm with PSF and PSF + filter. The PET/MR TOF + PSF reconstruction revealed the highest RCs for all hot spheres. Image voxel noise of the PET/MR system was significantly lower. Line profiles revealed excellent spatial agreement between the two systems. BPND values revealed variability of less than 10% for the [11C]DTBZ scans and 19% for [11C]raclopride (based on one subject only). Mean [18F]FDG ratios to pons showed less than 12% differences. Conclusions These results demonstrated comparable performances of the two systems in terms of RCs with lower voxel-level noise (%) present in the PET/MR system. Comparison of in vivo human data confirmed the comparability of the two systems. The whole-body GE SIGNA PET/MR system is well suited for high-resolution brain imaging as no significant performance degradation was found compared to that of the reference standard HRRT.


2010 ◽  
Vol 15 (1) ◽  
pp. 011108 ◽  
Author(s):  
Remco T. A. Megens ◽  
Sietze Reitsma ◽  
Lenneke Prinzen ◽  
Mirjam G. A. oude Egbrink ◽  
Wim Engels ◽  
...  

2005 ◽  
Vol 30 (17) ◽  
pp. 2272 ◽  
Author(s):  
Benjamin A. Flusberg ◽  
Juergen C. Jung ◽  
Eric D. Cocker ◽  
Erik P. Anderson ◽  
Mark J. Schnitzer

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