Genetically encoded fluorescent sensors for imaging neuronal dynamics in vivo DOI Open Access
Julian Day‐Cooney, Rochelin Dalangin, Haining Zhong

и другие.

Journal of Neurochemistry, Год журнала: 2022, Номер 164(3), С. 284 - 308

Опубликована: Март 14, 2022

The brain relies on many forms of dynamic activities in individual neurons, from synaptic transmission to electrical activity and intracellular signaling events. Monitoring these neuronal with high spatiotemporal resolution the context animal behavior is a necessary step achieve mechanistic understanding function. With rapid development dissemination highly optimized genetically encoded fluorescent sensors, growing number can now be visualized vivo. To date, cellular calcium imaging, which has been largely used as proxy for activity, become mainstay systems neuroscience. While challenges remain, voltage imaging neural populations possible. In addition, it becoming increasingly practical image over half dozen neurotransmitters, well certain metabolic activities. These new capabilities enable neuroscientists test previously unattainable hypotheses questions. This review summarizes recent progress delivery highlights example applications vivo imaging.

Язык: Английский

An inter-organ neural circuit for appetite suppression DOI Creative Commons
Tong Zhang, Matthew H. Perkins,

Hao Chang

и другие.

Cell, Год журнала: 2022, Номер 185(14), С. 2478 - 2494.e28

Опубликована: Июнь 2, 2022

Язык: Английский

Процитировано

118
Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit DOI Creative Commons
Xinyang Li, Yixin Li, Yiliang Zhou

и другие.

Nature Biotechnology, Год журнала: 2022, Номер 41(2), С. 282 - 292

Опубликована: Сен. 26, 2022

Abstract A fundamental challenge in fluorescence microscopy is the photon shot noise arising from inevitable stochasticity of detection. Noise increases measurement uncertainty and limits imaging resolution, speed sensitivity. To achieve high-sensitivity beyond shot-noise limit, we present DeepCAD-RT, a self-supervised deep learning method for real-time suppression. Based on our previous framework DeepCAD, reduced number network parameters by 94%, memory consumption 27-fold processing time factor 20, allowing two-photon microscope. high signal-to-noise ratio can be acquired with tenfold fewer photons than standard approaches. We demonstrate utility DeepCAD-RT series photon-limited experiments, including vivo calcium mice, zebrafish larva fruit flies, recording three-dimensional (3D) migration neutrophils after acute brain injury 3D dynamics cortical ATP release. will facilitate morphological functional interrogation biological minimal budget.

Язык: Английский

Процитировано

110
High-speed low-light in vivo two-photon voltage imaging of large neuronal populations DOI
Jelena Platiša, Xin Ye,

Allison M. Ahrens

и другие.

Nature Methods, Год журнала: 2023, Номер 20(7), С. 1095 - 1103

Опубликована: Март 27, 2023

Язык: Английский

Процитировано

74
Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue DOI Creative Commons
Zhifeng Zhao, Yiliang Zhou, Bo Liu

и другие.

Cell, Год журнала: 2023, Номер 186(11), С. 2475 - 2491.e22

Опубликована: Май 1, 2023

Holistic understanding of physio-pathological processes requires noninvasive 3D imaging in deep tissue across multiple spatial and temporal scales to link diverse transient subcellular behaviors with long-term physiogenesis. Despite broad applications two-photon microscopy (TPM), there remains an inevitable tradeoff among spatiotemporal resolution, volumes, durations due the point-scanning scheme, accumulated phototoxicity, optical aberrations. Here, we harnessed concept synthetic aperture radar TPM achieve aberration-corrected dynamics at a millisecond scale for over 100,000 large volumes tissue, three orders magnitude reduction photobleaching. With its advantages, identified direct intercellular communications through migrasome generation following traumatic brain injury, visualized formation process germinal center mouse lymph node, characterized heterogeneous cellular states visual cortex, opening up horizon intravital understand organizations functions biological systems holistic level.

Язык: Английский

Процитировано

52
Stress-sensitive neural circuits change the gut microbiome via duodenal glands DOI Creative Commons

Hao Chang,

Matthew H. Perkins, Leonardo Santana Novaes

и другие.

Cell, Год журнала: 2024, Номер 187(19), С. 5393 - 5412.e30

Опубликована: Авг. 8, 2024

Negative psychological states impact immunity by altering the gut microbiome. However, relationship between brain and microbiome composition remains unclear. We show that Brunner's glands in duodenum couple stress-sensitive circuits to bacterial homeostasis. mediated enrichment of Lactobacillus species response vagus nerve stimulation. Cell-specific ablation markedly suppressed Lactobacilli counts heightened vulnerability infection. In forebrain, we mapped a vagally mediated, polysynaptic circuit connecting central nucleus amygdala glands. Chronic stress activity phenocopied effects gland lesions. Conversely, excitation either or parasympathetic vagal neurons activated reversed on immunity. The findings revealed tractable brain-body mechanism linking host defense.

Язык: Английский

Процитировано

33
Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry DOI Creative Commons
Yuxuan Richard Xie, Daniel C. Castro, Stanislav S. Rubakhin

и другие.

Nature Methods, Год журнала: 2024, Номер 21(3), С. 521 - 530

Опубликована: Фев. 16, 2024

Abstract Spatial omics technologies can reveal the molecular intricacy of brain. While mass spectrometry imaging (MSI) provides spatial localization compounds, comprehensive biochemical profiling at a brain-wide scale in three dimensions by MSI with single-cell resolution has not been achieved. We demonstrate complementary and mapping using MEISTER, an integrative experimental computational (MS) framework. Our framework integrates deep-learning-based reconstruction that accelerates high-mass-resolving MS 15-fold, multimodal registration creating three-dimensional (3D) distributions data integration method fitting cell-specific spectra to 3D datasets. imaged detailed lipid profiles tissues millions pixels large populations acquired from rat identified region-specific contents localizations lipids depending on both cell subpopulations anatomical origins cells. workflow establishes blueprint for future development multiscale characterization

Язык: Английский

Процитировано

30
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration DOI

Chenxi Ma,

Weimin Tan, Ruian He

и другие.

Nature Methods, Год журнала: 2024, Номер 21(8), С. 1558 - 1567

Опубликована: Апрель 12, 2024

Язык: Английский

Процитировано

21
Long-term intravital subcellular imaging with confocal scanning light-field microscopy DOI Creative Commons
Zhi Lü,

Siqing Zuo,

Minghui Shi

и другие.

Nature Biotechnology, Год журнала: 2024, Номер unknown

Опубликована: Май 27, 2024

Abstract Long-term observation of subcellular dynamics in living organisms is limited by background fluorescence originating from tissue scattering or dense labeling. Existing confocal approaches face an inevitable tradeoff among parallelization, resolution and phototoxicity. Here we present scanning light-field microscopy (csLFM), which integrates axially elongated line-confocal illumination with the rolling shutter (sLFM). csLFM enables high-fidelity, high-speed, three-dimensional (3D) imaging at near-diffraction-limit both optical sectioning low By simultaneous 3D excitation detection, intensity can be reduced below 1 mW mm − 2 , 15-fold higher signal-to-background ratio over sLFM. We imaged 25,000 timeframes optically challenging environments different species, such as migrasome delivery mouse spleen, retractosome generation liver voltage Drosophila . Moreover, facilitates large-scale neural recording crosstalk, leading to high orientation selectivity visual stimuli, similar two-photon microscopy, aids understanding coding mechanisms.

Язык: Английский

Процитировано

19
Matrix-producing neutrophils populate and shield the skin DOI

Tommaso Vicanolo,

Alaz Özcan, J Li

и другие.

Nature, Год журнала: 2025, Номер unknown

Опубликована: Март 19, 2025

Язык: Английский

Процитировано

5
Imaging in focus: An introduction to denoising bioimages in the era of deep learning DOI Creative Commons
Romain F. Laine, Guillaume Jacquemet, Alexander Krull

и другие.

The International Journal of Biochemistry & Cell Biology, Год журнала: 2021, Номер 140, С. 106077 - 106077

Опубликована: Сен. 20, 2021

Fluorescence microscopy enables the direct observation of previously hidden dynamic processes life, allowing profound insights into mechanisms health and disease. However, imaging live samples is fundamentally limited by toxicity illuminating light images are often acquired using low conditions. As a consequence, can become very noisy which severely complicates their interpretation. In recent years, deep learning (DL) has emerged as successful approach to remove this noise while retaining useful signal. Unlike classical algorithms use well-defined mathematical functions noise, DL methods learn denoise from example data, providing powerful content-aware approach. review, we first describe different types that typically corrupt fluorescence introduce denoising task. We then present main DL-based relative advantages disadvantages. aim provide how operate help users choose most appropriate tools for applications.

Язык: Английский

Процитировано

59