About this Research Topic
High resolution lightsheet fluorescence microscopy (LSFM) is a planar illumination technique utilized for the imaging of entire organs. Combining high-speed imaging, high spatial resolution, and low phototoxicity, LSFM surpasses the limitations of conventional histochemistry of 2D sections. LSFM provides unprecedented insights into the three-dimensional organization and dynamics of biological tissues and has therefore emerged as an imaging technique that has transformed the landscape of biological imaging.
Analysis of large data sets obtained by LSFM has also increased the need for artificial intelligence (AI)-based algorithms to facilitate data quantification, accelerating the speed of analysis without compromising reliability and accuracy. As LSFM technology continues to evolve, its applications in neuroscience have expanded, offering new insights into brain structure and function, neural development, and the mechanisms underlying neurological diseases.
This research topic aims to explore the recent advancements in LSFM technology, its diverse applications in neuroscience research, as well as challenges and future directions in this rapidly evolving field.
We welcome contributions from researchers around the globe in the form of Original Research, Review, Mini Review, and Perspectives focusing on, but not limited to, the following subtopics:
- Technological innovations in light sheet microscopy
- Light sheet microscopy applications in neuroscience research
- Quantitative imaging and analysis of light sheet microscopy data
- Challenges and limitations of light sheet microscopy
Analysis of large data sets obtained by LSFM has also increased the need for artificial intelligence (AI)-based algorithms to facilitate data quantification, accelerating the speed of analysis without compromising reliability and accuracy. As LSFM technology continues to evolve, its applications in neuroscience have expanded, offering new insights into brain structure and function, neural development, and the mechanisms underlying neurological diseases.
This research topic aims to explore the recent advancements in LSFM technology, its diverse applications in neuroscience research, as well as challenges and future directions in this rapidly evolving field.
We welcome contributions from researchers around the globe in the form of Original Research, Review, Mini Review, and Perspectives focusing on, but not limited to, the following subtopics:
- Technological innovations in light sheet microscopy
- Light sheet microscopy applications in neuroscience research
- Quantitative imaging and analysis of light sheet microscopy data
- Challenges and limitations of light sheet microscopy
Keywords: Light Sheet Fluorescence Microscopy (LSFM), High-Speed Imaging, Artificial Intelligence (AI) Algorithms, Neuroscience Applications, Quantitative Imaging Analysis
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