scholarly journals Representation of Drosophila larval behaviors by muscle activity patterns

2021 ◽  
Author(s):  
Jinrun Zhou ◽  
Zenan Huang ◽  
Xinhang Li ◽  
Zhiying Song ◽  
Yixuan Sun ◽  
...  
Keyword(s):  
Muscle Activity ◽  
Animal Movement ◽  
Specific Activity ◽  
Muscle Tone ◽  
Activity Patterns ◽  
Muscular Activity ◽  
Light Sheet ◽  
Body Motion ◽  
Spatiotemporal Resolution ◽  
Light Sheet Microscopy

How muscle actions are coordinated to realize animal movement is a fundamental question in behavioral study. To obtain the overall muscular activity patterns accompanying behaviors at high spatiotemporal resolution is technically difficult. In this work, we used light sheet microscopy to simultaneously image and analyze the activity, length and orientation of Drosophila larval muscles across body segments at single muscle resolution in nearly free behaviors. For typical behavioral modes such as peristalsis, head cast and turning, larval muscles showed behavioral mode specific activity patterns. Unexpectedly, reorientation of larval head involves muscle tone in the apparently motionless posterior segments. With a STGCN(spatial temporal graph convolution neural network)-Generator model, sequence of larval behavioral poses outlined by morphological patterns of muscles could be accurately predicted based on the time series of ventral but not dorsal muscle activities, and vice versa. Laser ablation of ventral but not dorsal muscles interrupted peristaltic wave and undermined head cast in both frequency and amplitude. Our results provide a simplified muscle activity representation of soft body motion that can be used for probing the key components of animal motor control.

Deep-learning on-chip light-sheet microscopy enabling video-rate volumetric imaging of dynamic biological specimens

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Xiaopeng Chen ◽  
Junyu Ping ◽  
Yixuan Sun ◽  
Chengqiang Yi ◽  
Sijian Liu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Light Scattering ◽  
Light Sheet ◽  
High Contrast ◽  
Spatiotemporal Resolution ◽  
Volumetric Imaging ◽  
Light Sheet Microscopy ◽  
High Spatiotemporal Resolution ◽  
On Chip

Volumetric imaging of dynamic signals in a large, moving, and light-scattering specimen is extremely challenging, owing to the requirement on high spatiotemporal resolution and difficulty in obtaining high-contrast signals. Here...

scholarly journals Digital Spindle: A New Way to Explore Mitotic Functions by Whole Cell Data Collection and a Computational Approach

Cells ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 1255
Author(s):  
Norio Yamashita ◽  
Masahiko Morita ◽  
Hideo Yokota ◽  
Yuko Mimori-Kiyosue
Keyword(s):  
Cell Biology ◽  
Information Science ◽  
Three Dimensional ◽  
Light Sheet ◽  
Live Imaging ◽  
Three Dimensions ◽  
Complex Data ◽  
Spatiotemporal Resolution ◽  
Whole Cell ◽  
Light Sheet Microscopy

From cells to organisms, every living system is three-dimensional (3D), but the performance of fluorescence microscopy has been largely limited when attempting to obtain an overview of systems’ dynamic processes in three dimensions. Recently, advanced light-sheet illumination technologies, allowing drastic improvement in spatial discrimination, volumetric imaging times, and phototoxicity/photobleaching, have been making live imaging to collect precise and reliable 3D information increasingly feasible. In particular, lattice light-sheet microscopy (LLSM), using an ultrathin light-sheet, enables whole-cell 3D live imaging of cellular processes, including mitosis, at unprecedented spatiotemporal resolution for extended periods of time. This technology produces immense and complex data, including a significant amount of information, raising new challenges for big image data analysis and new possibilities for data utilization. Once the data are digitally archived in a computer, the data can be reused for various purposes by anyone at any time. Such an information science approach has the potential to revolutionize the use of bioimage data, and provides an alternative method for cell biology research in a data-driven manner. In this article, we introduce examples of analyzing digital mitotic spindles and discuss future perspectives in cell biology.

scholarly journals Reflective imaging improves resolution, speed, and collection efficiency in light sheet microscopy

2017 ◽  
Author(s):  
Yicong Wu ◽  
Abhishek Kumar ◽  
Corey Smith ◽  
Evan Ardiel ◽  
Panagiotis Chandris ◽  
...  
Keyword(s):  
High Resolution ◽  
High Speed ◽  
Collection Efficiency ◽  
Single Cells ◽  
Numerical Aperture ◽  
Light Sheet ◽  
Three Dimensions ◽  
Spatiotemporal Resolution ◽  
Light Sheet Microscopy ◽  
Simultaneous Acquisition

AbstractLight-sheet fluorescence microscopy (LSFM) enables high-speed, high-resolution, gentle imaging of live biological specimens over extended periods. Here we describe a technique that improves the spatiotemporal resolution and collection efficiency of LSFM without modifying the underlying microscope. By imaging samples on reflective coverslips, we enable simultaneous collection of multiple views, obtaining 4 complementary views in 250 ms, half the period it would otherwise take to collect only two views in symmetric dual-view selective plane illumination microscopy (diSPIM). We also report a modified deconvolution algorithm that removes the associated epifluorescence contamination and fuses all views for resolution recovery. Furthermore, we enhance spatial resolution (to < 300 nm in all three dimensions) by applying our method to a new asymmetric diSPIM, permitting simultaneous acquisition of two high-resolution views otherwise difficult to obtain due to steric constraints at high numerical aperture (NA). We demonstrate the broad applicability of our method in a variety of samples of moderate (< 50 μm) thickness, studying mitochondrial, membrane, Golgi, and microtubule dynamics in single cells and calcium activity in nematode embryos.

scholarly journals Observing the Cell in Its Native State: Imaging Subcellular Dynamics in Multicellular Organisms

2018 ◽  
Author(s):  
Tsung-Li Liu ◽  
Srigokul Upadhyayula ◽  
Daniel E. Milkie ◽  
Ved Singh ◽  
Kai Wang ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
High Speed ◽  
Developmental Stages ◽  
Phenotypic Diversity ◽  
Metastatic Cancer ◽  
Light Sheet ◽  
Intrinsic Variability ◽  
Spatiotemporal Resolution ◽  
Light Sheet Microscopy

AbstractTrue physiological imaging of subcellular dynamics requires studying cells within their parent organisms, where all the environmental cues that drive gene expression, and hence the phenotypes we actually observe, are present. A complete understanding also requires volumetric imaging of the cell and its surroundings at high spatiotemporal resolution without inducing undue stress on either. We combined lattice light sheet microscopy with two-channel adaptive optics to achieve, across large multicellular volumes, noninvasive aberration-free imaging of subcellular processes, including endocytosis, organelle remodeling during mitosis, and the migration of axons, immune cells, and metastatic cancer cells in vivo. The technology reveals the phenotypic diversity within cells across different organisms and developmental stages, and may offer insights into how cells harness their intrinsic variability to adapt to different physiological environments.One Sentence SummaryCombining lattice light sheet microscopy with adaptive optics enables high speed, high resolution in vivo 3D imaging of dynamic processes inside cells under physiological conditions within their parent organisms.

scholarly journals Software for lattice light-sheet imaging of FRET biosensors, illustrated with a new Rap1 biosensor

2019 ◽  
Vol 218 (9) ◽  
pp. 3153-3160 ◽  
Author(s):  
Ellen C. O’Shaughnessy ◽  
Orrin J. Stone ◽  
Paul K. LaFosse ◽  
Mihai L. Azoitei ◽  
Denis Tsygankov ◽  
...  
Keyword(s):  
Posttranslational Modification ◽  
Protein Conformation ◽  
Light Sheet ◽  
Small Gtpase ◽  
Lattice Imaging ◽  
Spatiotemporal Resolution ◽  
Light Sheet Microscopy ◽  
Software Packages ◽  
Ratio Imaging ◽  
Fret Biosensors

Lattice light-sheet microscopy (LLSM) is valuable for its combination of reduced photobleaching and outstanding spatiotemporal resolution in 3D. Using LLSM to image biosensors in living cells could provide unprecedented visualization of rapid, localized changes in protein conformation or posttranslational modification. However, computational manipulations required for biosensor imaging with LLSM are challenging for many software packages. The calculations require processing large amounts of data even for simple changes such as reorientation of cell renderings or testing the effects of user-selectable settings, and lattice imaging poses unique challenges in thresholding and ratio imaging. We describe here a new software package, named ImageTank, that is specifically designed for practical imaging of biosensors using LLSM. To demonstrate its capabilities, we use a new biosensor to study the rapid 3D dynamics of the small GTPase Rap1 in vesicles and cell protrusions.

scholarly journals Imaging mitotic processes in three dimensions with lattice light-sheet microscopy

2021 ◽  
Author(s):  
Yuko Mimori-Kiyosue
Keyword(s):  
Dimensional Space ◽  
Three Dimensional ◽  
Image Data ◽  
Light Sheet ◽  
Three Dimensions ◽  
Cell Level ◽  
Spatiotemporal Resolution ◽  
New Era ◽  
Light Sheet Microscopy ◽  
Three Dimensional Space

AbstractThere are few technologies that can capture mitotic processes occurring in three-dimensional space with the desired spatiotemporal resolution. Due to such technical limitations, our understanding of mitosis, which has been studied since the early 1880s, is still incomplete with regard to mitotic processes and their regulatory mechanisms at a molecular level. A recently developed high-resolution type of light-sheet microscopy, lattice light-sheet microscopy (LLSM), has achieved unprecedented spatiotemporal resolution scans of intracellular spaces at the whole-cell level. This technology enables experiments that were not possible before (e.g., tracking of growth of every spindle microtubule end and discrimination of individual chromosomes in living cells), thus providing a new avenue for the analysis of mitotic processes. Herein, principles of LLSM technology are introduced, as well as experimental techniques that became possible with LLSM. In addition, issues remaining to be solved for use of this technology in mitosis research, big image data problems, are presented to help guide mitosis research into a new era.

scholarly journals Quantitative live cell imaging reveals influenza virus manipulation of Rab11A transport through reduced dynein association

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Amar R. Bhagwat ◽  
Valerie Le Sage ◽  
Eric Nturibi ◽  
Katarzyna Kulej ◽  
Jennifer Jones ◽  
...  
Keyword(s):  
Influenza A ◽  
Intracellular Transport ◽  
Light Sheet ◽  
Live Cells ◽  
Influenza A Viruses ◽  
Spatiotemporal Resolution ◽  
Recycling Endosomes ◽  
Isotropic Resolution ◽  
Light Sheet Microscopy ◽  
Syncytial Virus

AbstractAssembly of infectious influenza A viruses (IAV) is a complex process involving transport from the nucleus to the plasma membrane. Rab11A-containing recycling endosomes have been identified as a platform for intracellular transport of viral RNA (vRNA). Here, using high spatiotemporal resolution light-sheet microscopy (~1.4 volumes/second, 330 nm isotropic resolution), we quantify Rab11A and vRNA movement in live cells during IAV infection and report that IAV infection decreases speed and increases arrest of Rab11A. Unexpectedly, infection with respiratory syncytial virus alters Rab11A motion in a manner opposite to IAV, suggesting that Rab11A is a common host component that is differentially manipulated by respiratory RNA viruses. Using two-color imaging we demonstrate co-transport of Rab11A and IAV vRNA in infected cells and provide direct evidence that vRNA-associated Rab11A have altered transport. The mechanism of altered Rab11A movement is likely related to a decrease in dynein motors bound to Rab11A vesicles during IAV infection.

scholarly journals Multi-color 4D superresolution light-sheet microscopy reveals organelle interactions at isotropic 100-nm resolution and sub-second timescales

2021 ◽  
Author(s):  
Peng Fei
Keyword(s):  
Dimensional Space ◽  
Three Dimensional ◽  
Light Sheet ◽  
Three Dimensions ◽  
Live Cells ◽  
Spatiotemporal Resolution ◽  
Volumetric Imaging ◽  
Light Sheet Microscopy ◽  
Intracellular Organelles ◽  
Microscopy Techniques

Long-term visualization of the dynamic organelle-organelle or protein-organelle interactions throughout the three-dimensional space of whole live cells is essential to better understand their functions, but this task remains challenging due to the limitations of existing three-dimensional fluorescence microscopy techniques, such as an insufficient axial resolution, low volumetric imaging rate, and photobleaching. Here, we present the combination of a progressive deep-learning superresolution strategy with a dual-ring-modulated SPIM design capable of visualizing the dynamics of intracellular organelles in live cells for hours at an isotropic spatial resolution of ~100 nm in three dimensions and a temporal resolution up to ~17 Hz. With a compelling spatiotemporal resolution, we substantially reveal the complex spatial relationships and interactions between the endoplasmic reticulum (ER) and mitochondria throughout live cells, providing new insights into ER-mediated mitochondrial division. We also localized the motion of Drp1 oligomers in three dimensions and observed Drp1-mediated mitochondrial branching for the first time.

scholarly journals Recent Progress in Light Sheet Microscopy for Biological Applications

2018 ◽  
Vol 72 (8) ◽  
pp. 1137-1169 ◽  
Author(s):  
Krishnendu Chatterjee ◽  
Feby Wijaya Pratiwi ◽  
Frances Camille M. Wu ◽  
Peilin Chen ◽  
Bi-Chang Chen
Keyword(s):  
Developmental Biology ◽  
Fluorescence Microscopy ◽  
Single Cell ◽  
Single Molecule ◽  
Super Resolution ◽  
Light Sheet ◽  
High Signal ◽  
Spatiotemporal Resolution ◽  
Light Sheet Microscopy ◽  
Resolution Imaging

The introduction of light sheet fluorescence microscopy (LSFM) has overcome the challenges in conventional optical microscopy. Among the recent breakthroughs in fluorescence microscopy, LSFM had been proven to provide a high three-dimensional spatial resolution, high signal-to-noise ratio, fast imaging acquisition rate, and minuscule levels of phototoxic and photodamage effects. The aforementioned auspicious properties are crucial in the biomedical and clinical research fields, covering a broad range of applications: from the super-resolution imaging of intracellular dynamics in a single cell to the high spatiotemporal resolution imaging of developmental dynamics in an entirely large organism. In this review, we provided a systematic outline of the historical development of LSFM, detailed discussion on the variants and improvements of LSFM, and delineation on the most recent technological advancements of LSFM and its potential applications in single molecule/particle detection, single-molecule super-resolution imaging, imaging intracellular dynamics of a single cell, multicellular imaging: cell–cell and cell–matrix interactions, plant developmental biology, and brain imaging and developmental biology.

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