scholarly journals Deep Learning-powered Bessel-beam Multi-parametric Photoacoustic Microscopy

2021 ◽  
Author(s):  
Yifeng Zhou ◽  
Naidi Sun ◽  
Song Hu
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Gaussian Beam ◽  
Mouse Brain ◽  
Bessel Beam ◽  
Large Field ◽  
Depth Range ◽  
Photoacoustic Microscopy ◽  
Beam Excitation ◽  
Live Mouse

Enabling simultaneous and high resolution quantification of the total concentration of hemoglobin (CHb), oxygen saturation of hemoglobin (sO2), and cerebral blood flow (CBF), multi parametric photoacoustic microscopy (PAM) has emerged as a promising tool for functional and metabolic imaging of the live mouse brain. However, due to the limited depth of focus imposed by the Gaussian beam excitation, the quantitative measurements become inaccurate when the imaging object is out of focus. To address this problem, we have developed a hardware-software combined approach by integrating Bessel beam excitation and conditional generative adversarial network (cGAN) based deep learning. Side by side comparison of the new cGAN powered Bessel-beam multi parametric PAM against the conventional Gaussian beam multi parametric PAM shows that the new system enables high resolution, quantitative imaging of CHb, sO2, and CBF over a depth range of ~600 μm in the live mouse brain, with errors 13 to 58 times lower than those of the conventional system. Better fulfilling the rigid requirement of light focusing for accurate hemodynamic measurements, the deep learning powered Bessel beam multi parametric PAM may find applications in large field functional recording across the uneven brain surface and beyond (e.g., tumor imaging).

High-resolution 3D fusion method for optical-resolution photoacoustic microscopy using deep learning

2021 ◽  
Author(s):  
Sihang Li ◽  
Zhuangzhuang Wang ◽  
Bofang Chen ◽  
Chenghao Gu ◽  
Ziming Yu ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Optical Resolution ◽  
Fusion Method ◽  
Photoacoustic Microscopy

scholarly journals High-resolution fluorescence-guided transcranial ultrasound mapping in the live mouse brain

2021 ◽  
Vol 7 (50) ◽  
Author(s):  
Hector Estrada ◽  
Justine Robin ◽  
Ali Özbek ◽  
Zhenyue Chen ◽  
Anne Marowsky ◽  
...  
Keyword(s):  
High Resolution ◽  
Mouse Brain ◽  
Transcranial Ultrasound ◽  
Live Mouse

Reflection-mode switchable subwavelength Bessel-beam and Gaussian-beam photoacoustic microscopy in vivo

2018 ◽  
Vol 12 (2) ◽  
pp. e201800215 ◽  
Author(s):  
Byullee Park ◽  
Hoyong Lee ◽  
Seungwan Jeon ◽  
Joongho Ahn ◽  
Hyung H. Kim ◽  
...  
Keyword(s):  
Gaussian Beam ◽  
Bessel Beam ◽  
Photoacoustic Microscopy ◽  
Reflection Mode

High-Resolution Large-Field-of-View Ultrasound Breast Imager

2014 ◽  
Author(s):  
Patrick LaRiviere
Keyword(s):  
High Resolution ◽  
Field Of View ◽  
Large Field

scholarly journals Application of Airy beam light sheet microscopy to examine early neurodevelopmental structures in 3D hiPSC-derived human cortical spheroids

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Dwaipayan Adhya ◽  
George Chennell ◽  
James A. Crowe ◽  
Eva P. Valencia-Alarcón ◽  
James Seyforth ◽  
...  
Keyword(s):  
High Resolution ◽  
Human Brain ◽  
Light Sheet ◽  
Autism Spectrum ◽  
Model Systems ◽  
Large Field ◽  
Autism Spectrum Conditions ◽  
Patient Specific ◽  
Airy Beam

Abstract Background The inability to observe relevant biological processes in vivo significantly restricts human neurodevelopmental research. Advances in appropriate in vitro model systems, including patient-specific human brain organoids and human cortical spheroids (hCSs), offer a pragmatic solution to this issue. In particular, hCSs are an accessible method for generating homogenous organoids of dorsal telencephalic fate, which recapitulate key aspects of human corticogenesis, including the formation of neural rosettes—in vitro correlates of the neural tube. These neurogenic niches give rise to neural progenitors that subsequently differentiate into neurons. Studies differentiating induced pluripotent stem cells (hiPSCs) in 2D have linked atypical formation of neural rosettes with neurodevelopmental disorders such as autism spectrum conditions. Thus far, however, conventional methods of tissue preparation in this field limit the ability to image these structures in three-dimensions within intact hCS or other 3D preparations. To overcome this limitation, we have sought to optimise a methodological approach to process hCSs to maximise the utility of a novel Airy-beam light sheet microscope (ALSM) to acquire high resolution volumetric images of internal structures within hCS representative of early developmental time points. Results Conventional approaches to imaging hCS by confocal microscopy were limited in their ability to image effectively into intact spheroids. Conversely, volumetric acquisition by ALSM offered superior imaging through intact, non-clarified, in vitro tissues, in both speed and resolution when compared to conventional confocal imaging systems. Furthermore, optimised immunohistochemistry and optical clearing of hCSs afforded improved imaging at depth. This permitted visualization of the morphology of the inner lumen of neural rosettes. Conclusion We present an optimized methodology that takes advantage of an ALSM system that can rapidly image intact 3D brain organoids at high resolution while retaining a large field of view. This imaging modality can be applied to both non-cleared and cleared in vitro human brain spheroids derived from hiPSCs for precise examination of their internal 3D structures. This process represents a rapid, highly efficient method to examine and quantify in 3D the formation of key structures required for the coordination of neurodevelopmental processes in both health and disease states. We posit that this approach would facilitate investigation of human neurodevelopmental processes in vitro.

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT

2021 ◽  
Author(s):  
Yuko Nakamura ◽  
Keigo Narita ◽  
Toru Higaki ◽  
Motonori Akagi ◽  
Yukiko Honda ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Radiation Dose ◽  
Dose Reduction ◽  
Diagnostic Value ◽  
Radiation Dose Reduction ◽  
High Resolution Ct
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