Real-Time Cell Dynamics With a Multianalyte Physiometer

2005 ◽  
pp. 209-223 ◽  
Author(s):  
Sven E. Eklund ◽  
Eugene Kozlov ◽  
Dale E. Taylor ◽  
Franz Baudenbacher ◽  
David E. Cliffel
Keyword(s):  
Real Time ◽  
Cell Dynamics

scholarly journals Contrast-tuneable microscopy for single-shot real-time imaging

2020 ◽  
Vol 91 (3) ◽  
pp. 30701
Author(s):  
Isao Shimizu ◽  
Yoshinori Saikawa ◽  
Katsuhiro Uno ◽  
Hideaki Kano ◽  
Seishi Shimizu
Keyword(s):  
Real Time ◽  
Large Diameter ◽  
Focal Depth ◽  
Single Shot ◽  
Cell Dynamics ◽  
Real Time Imaging ◽  
Edge Sharpness ◽  
Simple Pair ◽  
Laser Holography ◽  
Sub Wavelength

A novel real image in-line laser holography has enabled a tuneable image contrast, edge sharpness, and visualization of sub-wavelength structures, using a simple pair of filters and large-diameter lenses that can incorporate higher-order scattered beams. Demonstrated also are the accuracy in object sizing and the ease of imaging along the focal depth, based on a single-shot imaging via holographic principle. In addition, the use of broad, collimated laser beam for irradiation has led to a wider field of view, making it particularly useful for an extensive monitoring of, and sweeping search for, cells and microbial colonies and for the real-time imaging of cancer-cell dynamics.

Real-time imaging of single cancer-cell dynamics of lung metastasis

2009 ◽  
pp. n/a-n/a ◽  
Author(s):  
Hiroaki Kimura ◽  
Katsuhiro Hayashi ◽  
Kensuke Yamauchi ◽  
Norio Yamamoto ◽  
Hiroyuki Tsuchiya ◽  
...  
Keyword(s):  
Real Time ◽  
Cancer Cell ◽  
Lung Metastasis ◽  
Cell Dynamics ◽  
Real Time Imaging ◽  
Single Cancer

Real time hyperspectral imaging of pancreatic β cell dynamics with Image Mapping Spectrometer (IMS)

2011 ◽  
Author(s):  
Liang Gao ◽  
Amicia D. Elliott ◽  
Robert T. Kester ◽  
Nathan Hagen ◽  
David W. Piston ◽  
...  
Keyword(s):  
Real Time ◽  
Hyperspectral Imaging ◽  
Pancreatic Β Cell ◽  
Β Cell ◽  
Cell Dynamics ◽  
Image Mapping

scholarly journals Real-time hyperspectral fluorescence imaging of pancreatic  -cell dynamics with the image mapping spectrometer

2012 ◽  
Vol 125 (20) ◽  
pp. 4833-4840 ◽  
Author(s):  
A. D. Elliott ◽  
L. Gao ◽  
A. Ustione ◽  
N. Bedard ◽  
R. Kester ◽  
...  
Keyword(s):  
Real Time ◽  
Fluorescence Imaging ◽  
Cell Dynamics ◽  
Pancreatic Cell ◽  
Image Mapping

scholarly journals Lipid tethering of breast tumor cells enables real-time imaging of free-floating cell dynamics and drug response

Oncotarget ◽  
2016 ◽  
Vol 7 (9) ◽  
pp. 10486-10497 ◽  
Author(s):  
Kristi R. Chakrabarti ◽  
James I. Andorko ◽  
Rebecca A. Whipple ◽  
Peipei Zhang ◽  
Elisabeth L. Sooklal ◽  
...  
Keyword(s):  
Real Time ◽  
Tumor Cells ◽  
Breast Tumor ◽  
Drug Response ◽  
Cell Dynamics ◽  
Breast Tumor Cells ◽  
Real Time Imaging ◽  
Floating Cell

209 Imaging the Molecular and Cell Dynamics that Form the Early Mouse Embryo

2018 ◽  
Vol 30 (1) ◽  
pp. 245
Author(s):  
N. Plachta
Keyword(s):  
Real Time ◽  
Cell Fate ◽  
Mouse Embryo ◽  
Mammalian Cells ◽  
The Body ◽  
Cell Dynamics ◽  
Cell Stage ◽  
Early Mouse Embryo ◽  
Stage Of Development ◽  
Early Mouse

Our goal is to reveal how mammalian cells resolve their fate, shape, and position in the body in real time. Understanding how these decisions are made is critical to realise how embryos form and what problems compromise human fertility. Yet, their real-time control in vivo remains unknown. Because fixed specimens cannot capture cell dynamics, we established imaging technologies to study cells directly in live mouse embryos. We recently showed how transcription factors search and bind to the DNA to determine the first cell fates of the embryo. We found that differences in the binding of the transcription factor Sox2 to DNA appear as early as the 4-cell stage of development and predict cell fate. We also discovered that as cell choose their initial fates, they extend long filopodia protrusions to pull their neighbour cells closer, revealing a mechanism for embryo compaction and polarization. Finally, we established techniques to image how dynamic changes in the organisation of the actin and microtubule cytoskeletons regulate the first spatial segregation of inner and outer cells to form the future pluripotent inner mass and placental tissues of the embryo. Together, our findings reveal some of the key dynamic mechanisms that pattern the early mouse embryo.

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

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