@article {68250, title = {Using Simulated Training Data of Voxel-Level Generative Models to Improve 3D Neuron Reconstruction.}, journal = {IEEE Transactions on Medical Imaging}, volume = {PP}, year = {2022}, month = {2022 Jul 14}, abstract = {

Reconstructing neuron morphologies from fluorescence microscope images plays a critical role in neuroscience studies. It relies on image segmentation to produce initial masks either for further processing or final results to represent neuronal morphologies. This has been a challenging step due to the variation and complexity of noisy intensity patterns in neuron images acquired from microscopes. Whereas progresses in deep learning have brought the goal of accurate segmentation much closer to reality, creating training data for producing powerful neural networks is often laborious. To overcome the difficulty of obtaining a vast number of annotated data, we propose a novel strategy of using two-stage generative models to simulate training data with voxel-level labels. Trained upon unlabeled data by optimizing a novel objective function of preserving predefined labels, the models are able to synthesize realistic 3D images with underlying voxel labels. We showed that these synthetic images could train segmentation networks to obtain even better performance than manually labeled data. To demonstrate an immediate impact of our work, we further showed that segmentation results produced by networks trained upon synthetic data could be used to improve existing neuron reconstruction methods.

}, issn = {1558-254X}, doi = {10.1109/TMI.2022.3191011}, author = {Liu, Chao and Wang, Deli and Zhang, Han and Wu, Wei and Sun, Wenzhi and Zhao, Ting and Zheng, Nenggan} } @article {67763, title = {An adaptive optics module for deep tissue multiphoton imaging in vivo.}, journal = {Nature Methods}, volume = {18}, year = {2021}, month = {2021 Oct 01}, pages = {1259-1264}, abstract = {

Understanding complex biological systems requires visualizing structures and processes deep within living organisms. We developed a compact adaptive optics module and incorporated it into two- and three-photon fluorescence microscopes, to measure and correct tissue-induced aberrations. We resolved synaptic structures in deep cortical and subcortical areas of the mouse brain, and demonstrated high-resolution imaging of neuronal structures and somatosensory-evoked calcium responses in the mouse spinal cord at great depths in vivo.

}, issn = {1548-7105}, doi = {10.1038/s41592-021-01279-0}, author = {Rodriguez, Cristina and Chen, Anderson and Rivera, Jos{\'e} A and Mohr, Manuel A and Liang, Yajie and Natan, Ryan G and Sun, Wenzhi and Milkie, Daniel E and Bifano, Thomas G and Chen, Xiaoke and Ji, Na} } @article {67273, title = {A Distinct Population of L6 Neurons in Mouse V1 Mediate Cross-Callosal Communication.}, journal = {Cerebral Cortex}, year = {2021}, month = {2021 May 14}, abstract = {

Through the corpus callosum, interhemispheric communication is mediated by callosal projection (CP) neurons. Using retrograde labeling, we identified a population of layer 6 (L6) excitatory neurons as the main conveyer of transcallosal information in the monocular zone of the mouse primary visual cortex (V1). Distinct from L6 corticothalamic (CT) population, V1 L6 CP neurons contribute to an extensive reciprocal network across multiple sensory cortices over two hemispheres. Receiving both local and long-range cortical inputs, they encode orientation, direction, and receptive field information, while are also highly spontaneous active. The spontaneous activity of L6 CP neurons exhibits complex relationships with brain states and stimulus presentation, distinct from the spontaneous activity patterns of the CT population. The anatomical and functional properties of these L6 CP neurons enable them to broadcast visual and nonvisual information across two hemispheres, and thus may play a role in regulating and coordinating brain-wide activity events.

}, issn = {1460-2199}, doi = {10.1093/cercor/bhab084}, author = {Liang, Yajie and Fan, Jiang Lan and Sun, Wenzhi and Lu, Rongwen and Chen, Ming and Ji, Na} } @article {48417, title = {Near-infrared fluorescent protein iRFP713 as a reporter protein for optogenetic vectors, a transgenic Cre-reporter rat, and other neuronal studies.}, journal = {Journal of Neuroscience Methods}, volume = {284}, year = {2017}, month = {2017 Apr 02}, pages = {1-14}, abstract = {

BACKGROUND: The use of genetically-encoded fluorescent reporters is essential for the identification and observation of cells that express transgenic modulatory proteins. Near-infrared (NIR) fluorescent proteins have superior light penetration through biological tissue, but are not yet widely adopted.

NEW METHOD: Using the near-infrared fluorescent protein, iRFP713, improves the imaging resolution in thick tissue sections or the intact brain due to the reduced light-scattering at the longer, NIR wavelengths used to image the protein. Additionally, iRFP713 can be used to identify transgenic cells without photobleaching other fluorescent reporters or affecting opsin function. We have generated a set of adeno-associated vectors in which iRFP713 has been fused to optogenetic channels, and can be expressed constitutively or Cre-dependently.

RESULTS: iRFP713 is detectable when expressed in neurons both in vitro and in vivo without exogenously supplied chromophore biliverdin. Neuronally-expressed iRFP713 has similar properties to GFP-like fluorescent proteins, including the ability to be translationally fused to channelrhodopsin or halorhodopsin, however, it shows superior photostability compared to EYFP. Furthermore, electrophysiological recordings from iRFP713-labeled cells compared to cells labeled with mCherry suggest that iRFP713 cells are healthier and therefore more stable and reliable in an ex vivo preparation. Lastly, we have generated a transgenic rat that expresses iRFP713 in a Cre-dependent manner.

CONCLUSIONS: Overall, we have demonstrated that iRFP713 can be used as a reporter in neurons without the use of exogenous biliverdin, with minimal impact on viability and function thereby making it feasible to extend the capabilities for imaging genetically-tagged neurons in slices and in vivo.

}, issn = {1872-678X}, doi = {10.1016/j.jneumeth.2017.03.020}, author = {Richie, Christopher T and Whitaker, Leslie R and Whitaker, Keith W and Necarsulmer, Julie and Baldwin, Heather A and Zhang, Yajun and Fortuno, Lowella and Hinkle, Josh J and Koivula, Pyry and Henderson, Mark J and Sun, Wenzhi and Wang, Kai and Smith, Jeffrey C and Pickel, Jim and Ji, Na and Hope, Bruce T and Harvey, Brandon K} } @article {48304, title = {Video-rate volumetric functional imaging of the brain at synaptic resolution.}, journal = {Nature Neuroscience}, volume = {20}, year = {2017}, month = {2017 Feb 27}, pages = {620-8}, abstract = {

Neurons and neural networks often extend hundreds of micrometers in three dimensions. Capturing the calcium transients associated with their activity requires volume imaging methods with subsecond temporal resolution. Such speed is a challenge for conventional two-photon laser-scanning microscopy, because it depends on serial focal scanning in 3D and indicators with limited brightness. Here we present an optical module that is easily integrated into standard two-photon laser-scanning microscopes to generate an axially elongated Bessel focus, which when scanned in 2D turns frame rate into volume rate. We demonstrated the power of this approach in enabling discoveries for neurobiology by imaging the calcium dynamics of volumes of neurons and synapses in fruit flies, zebrafish larvae, mice and ferrets in vivo. Calcium signals in objects as small as dendritic spines could be resolved at video rates, provided that the samples were sparsely labeled to limit overlap in their axially projected images.

}, issn = {1546-1726}, doi = {10.1038/nn.4516}, author = {Lu, Rongwen and Sun, Wenzhi and Liang, Yajie and Kerlin, Aaron and Bierfeld, Jens and Seelig, Johannes D and Wilson, Daniel E and Scholl, Benjamin and Mohar, Boaz and Tanimoto, Masashi and Koyama, Minoru and Fitzpatrick, David and Orger, Michael B and Ji, Na} } @article {47548, title = {in vivo brain imaging with adaptive optical microscope.}, journal = {Conference on Lasers and Electro-Optics (CLEO): Applications and Technology}, year = {2016}, month = {2016 Jun }, pages = {AM40.1}, abstract = {

The diffraction limited resolution of two photon and confocal microscope can be recovered using adaptive optics to explore the detailed neuronal network in the brains of zebrafish and mouse in vivo.

}, doi = {10.1364/CLEO_AT.2016.AM4O.1}, author = {Wang, Kai and Sun, Wenzhi and Ji, Na and Betzig, Eric} } @article {47265, title = {Thalamus provides layer 4 of primary visual cortex with orientation- and direction-tuned inputs.}, journal = {Nature Neuroscience}, volume = {19}, year = {2016}, month = {2016 Feb}, pages = {308-15}, abstract = {

Understanding the functions of a brain region requires knowing the neural representations of its myriad inputs, local neurons and outputs. Primary visual cortex (V1) has long been thought to compute visual orientation from untuned thalamic inputs, but very few thalamic inputs have been measured in any mammal. We determined the response properties of ~28,000 thalamic boutons and ~4,000 cortical neurons in layers 1{\textendash}5 of awake mouse V1. Using adaptive optics that allows accurate measurement of bouton activity deep in cortex, we found that around half of the boutons in the main thalamorecipient L4 carried orientation-tuned information and that their orientation and direction biases were also dominant in the L4 neuron population, suggesting that these neurons may inherit their selectivity from tuned thalamic inputs. Cortical neurons in all layers exhibited sharper tuning than thalamic boutons and a greater diversity of preferred orientations. Our results provide data-rich constraints for refining mechanistic models of cortical computation.

}, doi = {10.1038/nn.4196}, author = {Sun, Wenzhi and Tan, Zhongchao and Mensh, Brett D and Ji, Na} } @article {46849, title = {Direct wavefront sensing for high-resolution in vivo imaging in scattering tissue.}, journal = {Nature Communications}, volume = {6}, year = {2015}, month = {2015-Jun-15}, pages = {7276}, abstract = {

Adaptive optics by direct imaging of the wavefront distortions of a laser-induced guide star has long been used in astronomy, and more recently in microscopy to compensate for aberrations in transparent specimens. Here we extend this approach to tissues that strongly scatter visible light by exploiting the reduced scattering of near-infrared guide stars. The method enables in vivo two-photon morphological and functional imaging down to 700 μm inside the mouse brain.

}, issn = {2041-1723}, doi = {10.1038/ncomms8276}, author = {Wang, Kai and Sun, Wenzhi and Richie, Christopher T and Harvey, Brandon K and Betzig, Eric and Ji, Na} } @article {46972, title = {Neuronal representation of ultraviolet visual stimuli in mouse primary visual cortex.}, journal = {Scientific Reports}, volume = {5}, year = {2015}, month = {2015 Jul 29}, pages = {12597}, abstract = {

The mouse has become an important model for understanding the neural basis of visual perception. Although it has long been known that mouse lens transmits ultraviolet (UV) light and mouse opsins have absorption in the UV band, little is known about how UV visual information is processed in the mouse brain. Using a custom UV stimulation system and in vivo calcium imaging, we characterized the feature selectivity of layer 2/3 neurons in mouse primary visual cortex (V1). In adult mice, a comparable percentage of the neuronal population responds to UV and visible stimuli, with similar pattern selectivity and receptive field properties. In young mice, the orientation selectivity for UV stimuli increased steadily during development, but not direction selectivity. Our results suggest that, by expanding the spectral window through which the mouse can acquire visual information, UV sensitivity provides an important component for mouse vision.

}, issn = {2045-2322}, doi = {10.1038/srep12597}, author = {Tan, Zhongchao and Sun, Wenzhi and Chen, Tsai-Wen and Kim, Douglas and Ji, Na} } @article {45373, title = {Multiplexed aberration measurement for deep tissue imaging in vivo.}, journal = {Nature Methods}, year = {2014}, month = {2014 Aug 17}, abstract = {

We describe an adaptive optics method that modulates the intensity or phase of light rays at multiple pupil segments in parallel to determine the sample-induced aberration. Applicable to fluorescent protein-labeled structures of arbitrary complexity, it allowed us to obtain diffraction-limited resolution in various samples in vivo. For the strongly scattering mouse brain, a single aberration correction improved structural and functional imaging of fine neuronal processes over a large imaging volume.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3068}, author = {Wang, Chen and Liu, Rui and Milkie, Daniel E and Sun, Wenzhi and Tan, Zhongchao and Kerlin, Aaron and Chen, Tsai-Wen and Kim, Douglas S and Ji, Na} }