Summary of 305-Mochizuki-multilineRaman

SSBD:database
SSBD:database URL
Title
Raman spectral data of mouse fixed tissues and live HeLa cells using multiline illumination.
Description
-
Relase date
2024-11-25
Updated date
-
License
CC BY
Kind
Image data based on Experiment
Number of Datasets
8 ( Image datasets: 8, Quantitative data datasets: 0 )
Size of Datasets
1.5 GB ( Image datasets: 1.5 GB, Quantitative data datasets: 0 bytes )

Organism(s)
Mus musculus, Homo sapiens
Cell lines(s)
HeLa Cell

Datatype
-
Molecular Function (MF)
Biological Process (BP)
Cellular Component (CC)
Biological Imaging Method
inelastic scattering of photons
X scale
0.43 micrometer/pixel
Y scale
0.84 micrometer/pixel, 0.44 micrometer/pixel
Z scale
-
T scale
-

Image Acquisition
Experiment type
-
Microscope type
-
Acquisition mode
-
Contrast method
-
Microscope model
-
Detector model
-
Objective model
-
Filter set
-

Related paper(s)

Kentaro Mochizuki, Yasuaki Kumamoto, Shunsuke Maeda, Masato Tanuma, Atsushi Kasai, Masashi Takemura, Yoshinori Harada, Hitoshi Hashimoto, Hideo Tanaka, Nicholas Isaac Smith, Katsumasa Fujita (2023) High-throughput line-illumination Raman microscopy with multislit detection., Biomedical optics express, Volume 14, Number 3, pp. 1015-1026

Published in 2023 Mar 1 (Electronic publication in Feb. 7, 2023, midnight )

(Abstract) Raman microscopy is an emerging tool for molecular imaging and analysis of living samples. Use of Raman microscopy in life sciences is, however, still limited because of its slow measurement speed for spectral imaging and analysis. We developed a multiline-illumination Raman microscope to achieve ultrafast Raman spectral imaging. A spectrophotometer equipped with a periodic array of confocal slits detects Raman spectra from a sample irradiated by multiple line illuminations. A comb-like Raman hyperspectral image is formed on a two-dimensional detector in the spectrophotometer, and a hyperspectral Raman image is acquired by scanning the sample with multiline illumination array. By irradiating a sample with 21 simultaneous illumination lines, we achieved high-throughput Raman hyperspectral imaging of mouse brain tissue, acquiring 1108800 spectra in 11.4 min. We also measured mouse kidney and liver tissue as well as conducted label-free live-cell molecular imaging. The ultrafast Raman hyperspectral imaging enabled by the presented technique will expand the possible applications of Raman microscopy in biological and medical fields.

Contact
Katsumasa Fujita , Osaka University , Department of Applied Physics
Contributors
Kentaro Mochizuki, Yasuaki Kumamoto


Dataset List of 305-Mochizuki-multilineRaman

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Dataset ID
Kind
Size
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# 11578
Datast ID Fig3_kidney-1
Dataset Kind Image data
Dataset Size 198.1 MB
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SSBD:OMERO
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# 11579
Datast ID Fig3_kidney-2
Dataset Kind Image data
Dataset Size 224.1 MB
4D view
SSBD:OMERO
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# 11580
Datast ID Fig3_liver-1
Dataset Kind Image data
Dataset Size 167.1 MB
4D view
SSBD:OMERO
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# 11581
Datast ID Fig3_liver-2
Dataset Kind Image data
Dataset Size 198.3 MB
4D view
SSBD:OMERO
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# 11582
Datast ID Fig3_brain-1
Dataset Kind Image data
Dataset Size 197.5 MB
4D view
SSBD:OMERO
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# 11583
Datast ID Fig3_brain-2
Dataset Kind Image data
Dataset Size 197.8 MB
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SSBD:OMERO
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# 11584
Datast ID Fig3_brain-3
Dataset Kind Image data
Dataset Size 197.8 MB
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SSBD:OMERO
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# 11585
Datast ID Fig4_HeLa
Dataset Kind Image data
Dataset Size 126.2 MB
4D view
SSBD:OMERO
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