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Limeng Huang

Researcher at Zhejiang University

Publications -  7
Citations -  169

Limeng Huang is an academic researcher from Zhejiang University. The author has contributed to research in topics: Biology & Imaging phantom. The author has an hindex of 3, co-authored 6 publications receiving 93 citations.

Papers
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Ultrafast optical clearing method for three-dimensional imaging with cellular resolution

TL;DR: A nontoxic ultrafast optical clearing method (FOCM), which could clarify 300-µm-thick brain slices within 2 min without morphology distortion and has the potential to be a widely used sample mounting media for biological optical imaging.
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Machine learning guided rapid focusing with sensor-less aberration corrections

TL;DR: A rapid focusing with sensor-less aberration corrections, based on machine learning, is demonstrated in this paper and offers great potential for in vivo real-time imaging in biological science.
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Two-photon focal modulation microscopy for high-resolution imaging in deep tissue.

TL;DR: A two-photon focal modulation microscopy is demonstrated that can achieve inertial-free scanning in either transverse or axial direction with in principle unlimited scanning speed and the signal-to-background ratio of 2PFMM is improved.
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Organizational principles of amygdalar input-output neuronal circuits.

TL;DR: Using a simplified cell-type and projection-specific retrograde transsynaptic tracing technique, this paper scrutinized brain-wide afferent inputs of four major output neuronal groups in the amygdalar basolateral complex (BLA) that project to the bed nucleus of the stria terminals (BNST), ventral hippocampus (vHPC), medial prefrontal cortex (mPFC), and nucleus accumbens (NAc), respectively.
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Enlarged field of view based on Schwartz modulation for light sheet fluorescence microscopy in deep tissue.

TL;DR: A Schwartz modulation method is proposed and implemented in LSFM based on a quasi-Bessel beam to enlarge the imaging FoV without sacrificing its spatial resolution and indicates potential applications for deep tissue imaging.