scholarly journals Imaging plant germline differentiation within Arabidopsis flower by light sheet microscopy

2019 ◽  
Author(s):  
Sona Valuchova ◽  
Pavlina Mikulkova ◽  
Jana Pecinkova ◽  
Jana Klimova ◽  
Michal Krumnikl ◽  
...  
Keyword(s):  
Higher Plants ◽  
Three Dimensional ◽  
Cell Lineage ◽  
Light Sheet ◽  
Three Dimensional Model ◽  
Light Sheet Microscopy ◽  
Meiotic Chromosomes ◽  
Short Period ◽  
Germline Differentiation ◽  
Subcellular Resolution

AbstractIn higher plants, germline differentiation occurs during a relatively short period within developing flowers. Understanding of the mechanisms that govern germline differentiation lags behind other plant developmental processes. This is largely because the germline is restricted to relatively few cells buried deep within floral tissues, which makes them difficult to study. To overcome this limitation, we have developed a methodology for live imaging of the germ cell lineage within floral organs of Arabidopsis using light sheet fluorescence microscopy. We have established reporter lines, cultivation conditions, and imaging protocols for high-resolution microscopy of developing flowers continuously for up to several days. We used multiview imagining to reconstruct a three-dimensional model of a flower at subcellular resolution. We demonstrate the power of this approach by capturing male and female meiosis, asymmetric pollen division, movement of meiotic chromosomes, and unusual restitution mitosis in tapetum cells. This method will enable new avenues of research into plant sexual reproduction.

scholarly journals Imaging plant germline differentiation within Arabidopsis flowers by light sheet microscopy

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Sona Valuchova ◽  
Pavlina Mikulkova ◽  
Jana Pecinkova ◽  
Jana Klimova ◽  
Michal Krumnikl ◽  
...  
Keyword(s):  
Higher Plants ◽  
Three Dimensional ◽  
Cell Lineage ◽  
Light Sheet ◽  
Three Dimensional Model ◽  
Light Sheet Microscopy ◽  
Meiotic Chromosomes ◽  
Short Period ◽  
Germline Differentiation ◽  
Subcellular Resolution

In higher plants, germline differentiation occurs during a relatively short period within developing flowers. Understanding of the mechanisms that govern germline differentiation lags behind other plant developmental processes. This is largely because the germline is restricted to relatively few cells buried deep within floral tissues, which makes them difficult to study. To overcome this limitation, we have developed a methodology for live imaging of the germ cell lineage within floral organs of Arabidopsis using light sheet fluorescence microscopy. We have established reporter lines, cultivation conditions, and imaging protocols for high-resolution microscopy of developing flowers continuously for up to several days. We used multiview imagining to reconstruct a three-dimensional model of a flower at subcellular resolution. We demonstrate the power of this approach by capturing male and female meiosis, asymmetric pollen division, movement of meiotic chromosomes, and unusual restitution mitosis in tapetum cells. This method will enable new avenues of research into plant sexual reproduction.

scholarly journals Three-dimensional quantification of twisting in the Arabidopsis petiole

2021 ◽  
Author(s):  
Yuta Otsuka ◽  
Hirokazu Tsukaya
Keyword(s):  
Cross Sections ◽  
Three Dimensional ◽  
Light Sheet ◽  
Underlying Mechanism ◽  
Two Dimensions ◽  
Observation Angle ◽  
Differential Growth ◽  
Light Sheet Microscopy ◽  
Definition Of ◽  
Twisting Angle

AbstractOrganisms have a variety of three-dimensional (3D) structures that change over time. These changes include twisting, which is 3D deformation that cannot happen in two dimensions. Twisting is linked to important adaptive functions of organs, such as adjusting the orientation of leaves and flowers in plants to align with environmental stimuli (e.g. light, gravity). Despite its importance, the underlying mechanism for twisting remains to be determined, partly because there is no rigorous method for quantifying the twisting of plant organs. Conventional studies have relied on approximate measurements of the twisting angle in 2D, with arbitrary choices of observation angle. Here, we present the first rigorous quantification of the 3D twisting angles of Arabidopsis petioles based on light sheet microscopy. Mathematical separation of bending and twisting with strict definition of petiole cross-sections were implemented; differences in the spatial distribution of bending and twisting were detected via the quantification of angles along the petiole. Based on the measured values, we discuss that minute degrees of differential growth can result in pronounced twisting in petioles.

scholarly journals Three-Dimensional Cross-Sectional Light-Sheet Microscopy Imaging of the Inflamed Mouse Gut

2017 ◽  
Vol 153 (4) ◽  
pp. 898-900 ◽  
Author(s):  
Sebastian Zundler ◽  
Anika Klingberg ◽  
Daniela Schillinger ◽  
Sarah Fischer ◽  
Clemens Neufert ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Light Sheet ◽  
Cross Sectional ◽  
Microscopy Imaging ◽  
Light Sheet Microscopy

scholarly journals Three Dimensional Fluorescence Imaging Using Multiple Light-Sheet Microscopy

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e96551 ◽  
Author(s):  
Kavya Mohan ◽  
Subhajit B. Purnapatra ◽  
Partha Pratim Mondal
Keyword(s):  
Fluorescence Imaging ◽  
Three Dimensional ◽  
Light Sheet ◽  
Light Sheet Microscopy

scholarly journals Actin-based protrusions of migrating neutrophils are intrinsically lamellar and facilitate direction changes

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Lillian K Fritz-Laylin ◽  
Megan Riel-Mehan ◽  
Bi-Chang Chen ◽  
Samuel J Lord ◽  
Thomas D Goddard ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Light Sheet ◽  
Time Lapse ◽  
Three Dimensions ◽  
Cortical Actin ◽  
Linear Arrangement ◽  
Collagen Matrices ◽  
Flat Surfaces ◽  
Actin Networks ◽  
Light Sheet Microscopy

Leukocytes and other amoeboid cells change shape as they move, forming highly dynamic, actin-filled pseudopods. Although we understand much about the architecture and dynamics of thin lamellipodia made by slow-moving cells on flat surfaces, conventional light microscopy lacks the spatial and temporal resolution required to track complex pseudopods of cells moving in three dimensions. We therefore employed lattice light sheet microscopy to perform three-dimensional, time-lapse imaging of neutrophil-like HL-60 cells crawling through collagen matrices. To analyze three-dimensional pseudopods we: (i) developed fluorescent probe combinations that distinguish cortical actin from dynamic, pseudopod-forming actin networks, and (ii) adapted molecular visualization tools from structural biology to render and analyze complex cell surfaces. Surprisingly, three-dimensional pseudopods turn out to be composed of thin (<0.75 µm), flat sheets that sometimes interleave to form rosettes. Their laminar nature is not templated by an external surface, but likely reflects a linear arrangement of regulatory molecules. Although we find that Arp2/3-dependent pseudopods are dispensable for three-dimensional locomotion, their elimination dramatically decreases the frequency of cell turning, and pseudopod dynamics increase when cells change direction, highlighting the important role pseudopods play in pathfinding.

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 Segmentation and 3D Reconstruction of Cerebral Hematoma Based on Deep Learning

CONVERTER ◽  
2021 ◽  
pp. 482-488
Author(s):  
Taipeng Guo, Et al.
Keyword(s):  
Deep Learning ◽  
Cerebral Hemorrhage ◽  
Three Dimensional ◽  
Rapid Onset ◽  
Three Dimensional Model ◽  
Data Set ◽  
Disability Rate ◽  
Short Period ◽  
Dimensional Reconstruction ◽  
Cerebral Hematoma

Cerebral hemorrhage is a common clinical disease. Because of its rapid onset, high mortality and disability rate, in the treatment of cerebral hemorrhage, it is very important to accurately calculate the brain hematoma volume and feedback its location information in a short period of time. This paper proposes a method for precise segmentation and three-dimensional reconstruction of cerebral hematoma area based on deep learning. This method highlights the image information by expanding the CT image and eliminating the skull information, then accurately segments the cerebral hematoma areathrough the neural network model to build a three-dimensional model. We verify the experimental results based on the data set collected by the Affiliated Hospital of Xiangnan University, which proves the effectiveness of this method and its ability to significantly improve the speed incerebral hemorrhage area judgment and grasp information in clinical diagnosis.

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