Summary of 235-Hattori-SmartphoneBioImaging

SSBD:database
SSBD:database URL
Title
Smartphone-based time-lapse bioluminescence images of GeNL(Ca2+)_520 or CalfluxVTN in HeLa cells.
Description
-
Relase date
2022-11-23
Updated date
-
License
CC BY
Kind
Image data based on Experiment
Number of Datasets
4 ( Image datasets: 4, Quantitative data datasets: 0 )
Size of Datasets
13.0 MB ( Image datasets: 13.0 MB, Quantitative data datasets: 0 bytes )

Organism(s)
Homo sapiens
Cell lines(s)
HeLa cell
Gene symbol(s)
NA
Protein name(s)
NA

Datatype
-
Molecular Function (MF)
Biological Process (BP)
bioluminescence
Cellular Component (CC)
Biological Imaging Method
time lapse microscopy, smartphone microscope
X scale
1.44 micrometer/pixel
Y scale
1.44 micrometer/pixel
Z scale
-
T scale
10 seconds per frame

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

Related paper(s)

Mitsuru Hattori, Sumito Shirane, Tomoki Matsuda, Kuniaki Nagayama, Takeharu Nagai (2020) Smartphone-Based Portable Bioluminescence Imaging System Enabling Observation at Various Scales from Whole Mouse Body to Organelle., Sensors (Basel, Switzerland), Volume 20, Number 24

Published in 2020 Dec 14 (Electronic publication in Dec. 14, 2020, midnight )

(Abstract) Current smartphones equipped with high-sensitivity and high-resolution sensors in the camera can respond to the needs of low-light imaging, streaming acquisition, targets of various scales, etc. Therefore, a smartphone has great potential as an imaging device even in the scientific field and has already been introduced into biomolecular imaging using fluorescence tags. However, owing to the necessity of an excitation light source, fluorescence methods impair its mobility. Bioluminescence does not require illumination; therefore, imaging with a smartphone camera is compact and requires minimal devices, thus making it suitable for personal and portable imaging devices. Here, we report smartphone-based methods to observe biological targets in various scales using bioluminescence. In particular, we demonstrate, for the first time, that bioluminescence can be observed in an organelle in a single living cell using a smartphone camera by attaching a detachable objective lens. Through capturing color changes with the camera, changes in the amount of target molecules was detected using bioluminescent indicators. The combination of bioluminescence and a mobile phone makes possible a compact imaging system without an external light source and expands the potential of portable devices.
(MeSH Terms)

Contact
Takeharu Nagai , Osaka University , The Institute of Scientific and Industrial Research (SANKEN)
Contributors


Dataset List of 235-Hattori-SmartphoneBioImaging

#
Dataset ID
Kind
Size
4D View
SSBD:OMERO
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# 8777
Dataset Kind Image data
Dataset Size 2.4 MB
4D view
SSBD:OMERO
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# 8778
Dataset Kind Image data
Dataset Size 3.5 MB
4D view
SSBD:OMERO
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# 8779
Dataset Kind Image data
Dataset Size 3.5 MB
4D view
SSBD:OMERO
Download BDML
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# 8780
Dataset Kind Image data
Dataset Size 3.6 MB
4D view
SSBD:OMERO
Download BDML
Download Image data