Live imaging and quantitative analysis of gastrulation in mouse embryos using light-sheet microscopy and 3D tracking tools

2014 ◽  
Vol 9 (3) ◽  
pp. 575-585 ◽  
Author(s):  
Takehiko Ichikawa ◽  
Kenichi Nakazato ◽  
Philipp J Keller ◽  
Hiroko Kajiura-Kobayashi ◽  
Ernst H K Stelzer ◽  
...  
2014 ◽  
Vol 9 (10) ◽  
pp. 2513-2513 ◽  
Author(s):  
Takehiko Ichikawa ◽  
Kenichi Nakazato ◽  
Philipp J Keller ◽  
Hiroko Kajiura-Kobayashi ◽  
Ernst H K Stelzer ◽  
...  

Author(s):  
Emilio J. Gualda ◽  
Matteo Bernardello ◽  
Maria Marsal ◽  
Pablo Loza Alvarez

2014 ◽  
Vol 127 (23) ◽  
pp. e1-e1
Author(s):  
R. S. Udan ◽  
V. G. Piazza ◽  
C.-w. Hsu ◽  
A.-K. Hadjantonakis ◽  
M. E. Dickinson

Cells ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 1255
Author(s):  
Norio Yamashita ◽  
Masahiko Morita ◽  
Hideo Yokota ◽  
Yuko Mimori-Kiyosue

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.


2016 ◽  
Vol 263 (2) ◽  
pp. 158-164 ◽  
Author(s):  
BÉATRICE BERTHET ◽  
ALEXIS MAIZEL

2019 ◽  
Author(s):  
Justin Swaney ◽  
Lee Kamentsky ◽  
Nicholas B Evans ◽  
Katherine Xie ◽  
Young-Gyun Park ◽  
...  

AbstractHere we describe an image processing pipeline for quantitative analysis of terabyte-scale volumetric images of SHIELD-processed mouse brains imaged with light-sheet microscopy. The pipeline utilizes open-source packages for destriping, stitching, and atlas alignment that are optimized for parallel processing. The destriping step removes stripe artifacts, corrects uneven illumination, and offers over 100x speed improvements compared to previously reported algorithms. The stitching module builds upon Terastitcher to create a single volumetric image quickly from individual image stacks with parallel processing enabled by default. The atlas alignment module provides an interactive web-based interface that automatically calculates an initial alignment to a reference image which can be manually refined. The atlas alignment module also provides summary statistics of fluorescence for each brain region as well as region segmentations for visualization. The expected runtime of our pipeline on a whole mouse brain hemisphere is 1-2 d depending on the available computational resources and the dataset size.


2012 ◽  
Author(s):  
Y. Oshima ◽  
H. Kajiura-Kobayashi ◽  
S. Nonaka

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