201 research outputs found
Detection of Circulating Tumor Cells and Circulating Tumor Stem Cells in Breast Cancer by Using Flow Cytometry
We demonstrated the value of multiparameter flowcytometry in detecting human tumor cells of breast cancer in peripheral blood, which had a sensitivity limit of 10-5 and higher specificity compares with realâtime polymerase chain reaction (RTâPCR). It was also found that circulating tumor cell (CTC) number was related with TNM stage, metastasis and the overall survival of patients. CTC level was one of the important factors for patientsâ prognosis. At the same time, we also verified the circulating tumor stem cell (CTSC) was connected with TNM stage by multiparameter cytometry. The detection of CTC and CTSC by multiparameter flowcytometry may be used to diagnose disease at early stage to guide clinical therapy or to predict prognosis. Multiparameter flowcytometry has the potential to be a valuable tool for prognosis assessment among patients with breast cancer in clinical situation in China
How do the resting EEG preprocessing states affect the outcomes of postprocessing?
Plenty of artifact removal tools and pipelines have been developed to correct
the EEG recordings and discover the values below the waveforms. Without visual
inspection from the experts, it is susceptible to derive improper preprocessing
states, like the insufficient preprocessed EEG (IPE), and the excessive
preprocessed EEG (EPE). However, little is known about the impacts of IPE or
EPE on the postprocessing in the frequency, spatial and temporal domains,
particularly as to the spectra and the functional connectivity (FC) analysis.
Here, the clean EEG (CE) was synthesized as the ground truth based on the
New-York head model and the multivariate autoregressive model. Later, the IPE
and the EPE were simulated by injecting the Gaussian noise and losing the brain
activities, respectively. Then, the impacts on postprocessing were quantified
by the deviation caused by the IPE or EPE from the CE as to the 4 temporal
statistics, the multichannel power, the cross spectra, the dispersion of source
imaging, and the properties of scalp EEG network. Lastly, the association
analysis was performed between the PaLOSi metric and the varying trends of
postprocessing with the evolution of preprocessing states. This study shed
light on how the postprocessing outcomes are affected by the preprocessing
states and PaLOSi may be a potential effective quality metric
Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing
The brain projects require the collection of massive electrophysiological data, aiming to the longitudinal, sectional, or populational neuroscience studies. Quality metrics automatically label the data after centralized preprocessing. However, although the waveforms-based metrics are partially useful, they may be unreliable by neglecting the spectral profiles. Here, we detected the phenomenon of parallel log spectra (PaLOS) that the scalp EEG power in the log scale were parallel to each other from 10% of 2549 HBN EEG. This phenomenon was reproduced in 8% of 412 PMDT EEG from 4 databases. We designed the PaLOS index (PaLOSi) to indicate this phenomenon by decomposing the cross-spectra at different frequencies into the common principal component spaces. We found that the PaLOS biophysically implied a prominently dominant dipole in the source space which was implausible for the resting EEG. And it may be practically resulted from excessive preprocessing. Compared with the 1966 normative EEG cross-spectra, the HBN and the PMDT EEG with PaLOS presented generally much higher electrode pairwise coherences and higher similarity of coherence-based network patterns, which went against the known frequency dependent characteristic of coherence networks. We suggest the PaLOSi should lay in the range of 0.4-0.7 for large resting EEG quality assurance
Spectral homogeneity cross frequencies can be a quality metric for the large-scale resting EEG preprocessing
The brain projects require the collection of massive electrophysiological
data, aiming to the longitudinal, sectional, or populational neuroscience
studies. Quality metrics automatically label the data after centralized
preprocessing. However, although the waveforms-based metrics are partially
useful, they may be unreliable by neglecting the spectral profiles. Here, we
detected the phenomenon of parallel log spectra (PaLOS) that the scalp EEG
power in the log scale were parallel to each other from 10% of 2549 HBN EEG.
This phenomenon was reproduced in 8% of 412 PMDT EEG from 4 databases. We
designed the PaLOS index (PaLOSi) to indicate this phenomenon by decomposing
the cross-spectra at different frequencies into the common principal component
spaces. We found that the PaLOS biophysically implied a prominently dominant
dipole in the source space which was implausible for the resting EEG. And it
may be practically resulted from excessive preprocessing. Compared with the
1966 normative EEG cross-spectra, the HBN and the PMDT EEG with PaLOS presented
generally much higher electrode pairwise coherences and higher similarity of
coherence-based network patterns, which went against the known frequency
dependent characteristic of coherence networks. We suggest the PaLOSi should
lay in the range of 0.4-0.7 for large resting EEG quality assurance
Metrology Camera System of Prime Focus Spectrograph for Subaru Telescope
The Prime Focus Spectrograph (PFS) is a new optical/near-infrared multi-fiber
spectrograph designed for the prime focus of the 8.2m Subaru telescope. PFS
will cover a 1.3 degree diameter field with 2394 fibers to complement the
imaging capabilities of Hyper SuprimeCam. To retain high throughput, the final
positioning accuracy between the fibers and observing targets of PFS is
required to be less than 10um. The metrology camera system (MCS) serves as the
optical encoder of the fiber motors for the configuring of fibers. MCS provides
the fiber positions within a 5um error over the 45 cm focal plane. The
information from MCS will be fed into the fiber positioner control system for
the closed loop control. MCS will be located at the Cassegrain focus of Subaru
telescope in order to to cover the whole focal plane with one 50M pixel Canon
CMOS camera. It is a 380mm Schmidt type telescope which generates a uniform
spot size with a 10 micron FWHM across the field for reasonable sampling of
PSF. Carbon fiber tubes are used to provide a stable structure over the
operating conditions without focus adjustments. The CMOS sensor can be read in
0.8s to reduce the overhead for the fiber configuration. The positions of all
fibers can be obtained within 0.5s after the readout of the frame. This enables
the overall fiber configuration to be less than 2 minutes. MCS will be
installed inside a standard Subaru Cassgrain Box. All components that generate
heat are located inside a glycol cooled cabinet to reduce the possible image
motion due to heat. The optics and camera for MCS have been delivered and
tested. The mechanical parts and supporting structure are ready as of spring
2016. The integration of MCS will start in the summer of 2016.Comment: 11 pages, 15 figures. SPIE proceeding. arXiv admin note: text overlap
with arXiv:1408.287
Metrology Camera System of Prime Focus Spectrograph for Subaru Telescope
The Prime Focus Spectrograph (PFS) is a new optical/near-infrared multi-fiber
spectrograph designed for the prime focus of the 8.2m Subaru telescope. The
metrology camera system of PFS serves as the optical encoder of the COBRA fiber
motors for the configuring of fibers. The 380mm diameter aperture metrology
camera will locate at the Cassegrain focus of Subaru telescope to cover the
whole focal plane with one 50M pixel Canon CMOS sensor. The metrology camera is
designed to provide the fiber position information within 5{\mu}m error over
the 45cm focal plane. The positions of all fibers can be obtained within 1s
after the exposure is finished. This enables the overall fiber configuration to
be less than 2 minutes.Comment: 10 pages, 12 figures, SPIE Astronomical Telescopes and
Instrumentation 201
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