Detail of mouseliver_d0

(Too many images for preview; see images in SSBD:OMERO Dataset)


Project
Title
HE staining image of mouse liver at day 0 with CUBIC
Description
NA
Release, Updated
2018-11-14
License
CC BY
Kind
Image data based on Experiment
File Formats
Data size
5.6 MB

Organism
M. musculus ( NCBI:txid10090 )
Strain(s)
-
Cell Line
-

Datatype
cell morphology
Molecular Function (MF)
Biological Process (BP)
lung growth ( GO:0060437 ) lymph node development ( GO:0048535 )
Cellular Component (CC)
-
Biological Imaging Method
XYZ Scale
XY: 0.55 micrometer/pixel, Z: NA
T scale
-

Image Acquisition
Experiment type
Immunocytochemistry
Microscope type
ConfocalMicroscope
Acquisition mode
BrightField
Contrast method
Brightfield
Microscope model
Carl-Zeiss Zeiss LSM710
Detector model
-
Objective model
-
Filter set
-

Summary of Methods
See details in Nojima et al. (2017) Sci Rep, 7(1): 9269.
Related paper(s)

Satoshi Nojima, Etsuo A Susaki, Kyotaro Yoshida, Hiroyoshi Takemoto, Naoto Tsujimura, Shohei Iijima, Ko Takachi, Yujiro Nakahara, Shinichiro Tahara, Kenji Ohshima, Masako Kurashige, Yumiko Hori, Naoki Wada, Jun-Ichiro Ikeda, Atsushi Kumanogoh, Eiichi Morii, Hiroki R Ueda (2017) CUBIC pathology: three-dimensional imaging for pathological diagnosis., Scientific reports, Volume 7, Number 1, pp. 9269

Published in 2017 Aug 24 (Electronic publication in Aug. 24, 2017, midnight )

(Abstract) The examination of hematoxylin and eosin (H&E)-stained tissues on glass slides by conventional light microscopy is the foundation for histopathological diagnosis. However, this conventional method has some limitations in x-y axes due to its relatively narrow range of observation area and in z-axis due to its two-dimensionality. In this study, we applied a CUBIC pipeline, which is the most powerful tissue-clearing and three-dimensional (3D)-imaging technique, to clinical pathology. CUBIC was applicable to 3D imaging of both normal and abnormal patient-derived, human lung and lymph node tissues. Notably, the combination of deparaffinization and CUBIC enabled 3D imaging of specimens derived from paraffin-embedded tissue blocks, allowing quantitative evaluation of nuclear and structural atypia of an archival malignant lymphoma tissue. Furthermore, to examine whether CUBIC can be applied to practical use in pathological diagnosis, we performed a histopathological screening of a lymph node metastasis based on CUBIC, which successfully improved the sensitivity in detecting minor metastatic carcinoma nodules in lymph nodes. Collectively, our results indicate that CUBIC significantly contributes to retrospective and prospective clinicopathological diagnosis, which might lead to the establishment of a novel field of medical science based on 3D histopathology.
(MeSH Terms)

Contact
Hiroki R. Ueda , RIKEN , Center for Biosystems Dynamics Research , Laboratory for Synthetic Biology
Contributors
Satoshi Nojima, Etsuo A. Susaki, Kyotaro Yoshida, Hiroyoshi Takemoto, Naoto Tsujimura, Shohei Iijima, Ko Takachi, Yujiro Nakahara, Shinichiro Tahara, Kenji Ohshima, Masako Kurashige, Yumiko Hori, Naoki Wada, Jun-ichiro Ikeda, Atsushi Kumanogoh, Eiichi Morii, Hiroki R. Ueda

OMERO Dataset
OMERO Project
Source