custom-made matlab high-throughput np tracking code Search Results


custom-made matlab high-throughput np tracking code  (MathWorks Inc)
90
MathWorks Inc custom-made matlab high-throughput np tracking code
Custom Made Matlab High Throughput Np Tracking Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-made matlab high-throughput np tracking code/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom-made matlab high-throughput np tracking code - by Bioz Stars, 2026-04
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custom-made matlab script  (MathWorks Inc)
90
MathWorks Inc custom-made matlab script
Experimental setup of high-throughput droplet-based cytotoxicity platform. ( A ) Experimental schematics showing cytotoxicity platform that combines (i) droplet generation and cell pairing using microfluidics, (ii) droplet immobilization for real-time microscopy, (iii) automated image analysis using custom-made <t>MATLAB</t> script to allow unbiased and high throughput detection of cytotoxic events. Stained NK cells and K562 cells were loaded into the chip using 200 µL pipette tips and encapsulated into droplets using a 3-inlet microfluidic chip. The viability dyes were included within the cell medium. The immobilized droplets were incubated in a stage top incubator set at 5% CO 2 and 37 °C. Image acquisition was performed at every hour interval for 10 h. ( B ) The three-inlet microfluidic device with flow-focusing junction to generate droplets. ( C ) A qualitative test of the observation chamber was performed by monitoring droplets movement in the chamber under the microscope for 10 h.
Custom Made Matlab Script, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-made matlab script/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom-made matlab script - by Bioz Stars, 2026-04
90/100 stars
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custom-made m-file in matlab r2014a  (MathWorks Inc)
90
MathWorks Inc custom-made m-file in matlab r2014a
Experimental setup of high-throughput droplet-based cytotoxicity platform. ( A ) Experimental schematics showing cytotoxicity platform that combines (i) droplet generation and cell pairing using microfluidics, (ii) droplet immobilization for real-time microscopy, (iii) automated image analysis using custom-made <t>MATLAB</t> script to allow unbiased and high throughput detection of cytotoxic events. Stained NK cells and K562 cells were loaded into the chip using 200 µL pipette tips and encapsulated into droplets using a 3-inlet microfluidic chip. The viability dyes were included within the cell medium. The immobilized droplets were incubated in a stage top incubator set at 5% CO 2 and 37 °C. Image acquisition was performed at every hour interval for 10 h. ( B ) The three-inlet microfluidic device with flow-focusing junction to generate droplets. ( C ) A qualitative test of the observation chamber was performed by monitoring droplets movement in the chamber under the microscope for 10 h.
Custom Made M File In Matlab R2014a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/custom-made m-file in matlab r2014a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
custom-made m-file in matlab r2014a - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
matlab 2014a environment  (MathWorks Inc)
90
MathWorks Inc matlab 2014a environment
Experimental setup of high-throughput droplet-based cytotoxicity platform. ( A ) Experimental schematics showing cytotoxicity platform that combines (i) droplet generation and cell pairing using microfluidics, (ii) droplet immobilization for real-time microscopy, (iii) automated image analysis using custom-made <t>MATLAB</t> script to allow unbiased and high throughput detection of cytotoxic events. Stained NK cells and K562 cells were loaded into the chip using 200 µL pipette tips and encapsulated into droplets using a 3-inlet microfluidic chip. The viability dyes were included within the cell medium. The immobilized droplets were incubated in a stage top incubator set at 5% CO 2 and 37 °C. Image acquisition was performed at every hour interval for 10 h. ( B ) The three-inlet microfluidic device with flow-focusing junction to generate droplets. ( C ) A qualitative test of the observation chamber was performed by monitoring droplets movement in the chamber under the microscope for 10 h.
Matlab 2014a Environment, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab 2014a environment/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab 2014a environment - by Bioz Stars, 2026-04
90/100 stars
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pat neurofeedback device  (NeuroTek Corporation)
90
NeuroTek Corporation pat neurofeedback device
Paired sample t -test of the last vs. first <t> neurofeedback </t> session in 18 subjects .
Pat Neurofeedback Device, supplied by NeuroTek Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pat neurofeedback device/product/NeuroTek Corporation
Average 90 stars, based on 1 article reviews
pat neurofeedback device - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Experimental setup of high-throughput droplet-based cytotoxicity platform. ( A ) Experimental schematics showing cytotoxicity platform that combines (i) droplet generation and cell pairing using microfluidics, (ii) droplet immobilization for real-time microscopy, (iii) automated image analysis using custom-made MATLAB script to allow unbiased and high throughput detection of cytotoxic events. Stained NK cells and K562 cells were loaded into the chip using 200 µL pipette tips and encapsulated into droplets using a 3-inlet microfluidic chip. The viability dyes were included within the cell medium. The immobilized droplets were incubated in a stage top incubator set at 5% CO 2 and 37 °C. Image acquisition was performed at every hour interval for 10 h. ( B ) The three-inlet microfluidic device with flow-focusing junction to generate droplets. ( C ) A qualitative test of the observation chamber was performed by monitoring droplets movement in the chamber under the microscope for 10 h.

Journal: Scientific Reports

Article Title: An automated real-time microfluidic platform to probe single NK cell heterogeneity and cytotoxicity on-chip

doi: 10.1038/s41598-021-96609-9

Figure Lengend Snippet: Experimental setup of high-throughput droplet-based cytotoxicity platform. ( A ) Experimental schematics showing cytotoxicity platform that combines (i) droplet generation and cell pairing using microfluidics, (ii) droplet immobilization for real-time microscopy, (iii) automated image analysis using custom-made MATLAB script to allow unbiased and high throughput detection of cytotoxic events. Stained NK cells and K562 cells were loaded into the chip using 200 µL pipette tips and encapsulated into droplets using a 3-inlet microfluidic chip. The viability dyes were included within the cell medium. The immobilized droplets were incubated in a stage top incubator set at 5% CO 2 and 37 °C. Image acquisition was performed at every hour interval for 10 h. ( B ) The three-inlet microfluidic device with flow-focusing junction to generate droplets. ( C ) A qualitative test of the observation chamber was performed by monitoring droplets movement in the chamber under the microscope for 10 h.

Article Snippet: Figure 1 Experimental setup of high-throughput droplet-based cytotoxicity platform. ( A ) Experimental schematics showing cytotoxicity platform that combines (i) droplet generation and cell pairing using microfluidics, (ii) droplet immobilization for real-time microscopy, (iii) automated image analysis using custom-made MATLAB script to allow unbiased and high throughput detection of cytotoxic events.

Techniques: High Throughput Screening Assay, Microscopy, Staining, Transferring, Incubation

Image processing and analyzing steps in MATLAB script. ( A ) Image processing by stacking different channels, droplet tracing, and detection of cells over each channel. ( B ) Droplet movement over one hour. An adjustable amount of movement is allowed by the script, but if this allowed movement is more than the droplet radius, the risk exists of detecting a different droplet at the next time point. Droplet detection over time is done by comparing the coordinates of the center of the droplet between two consecutive time points and selecting the closest center within the allowed movement range. ( C ) Evaluation of the script for cells recognition over different channels, here two cells labelled with cell tracker blue are identified in DAPI channel). ( D ) Validation of the script by comparing differences in cell distribution, cell pairing, and dead cell identification at three different time points (t = 3 h, t = 4 h, and t = 10 h) in-between script generated data with manually counted data.

Journal: Scientific Reports

Article Title: An automated real-time microfluidic platform to probe single NK cell heterogeneity and cytotoxicity on-chip

doi: 10.1038/s41598-021-96609-9

Figure Lengend Snippet: Image processing and analyzing steps in MATLAB script. ( A ) Image processing by stacking different channels, droplet tracing, and detection of cells over each channel. ( B ) Droplet movement over one hour. An adjustable amount of movement is allowed by the script, but if this allowed movement is more than the droplet radius, the risk exists of detecting a different droplet at the next time point. Droplet detection over time is done by comparing the coordinates of the center of the droplet between two consecutive time points and selecting the closest center within the allowed movement range. ( C ) Evaluation of the script for cells recognition over different channels, here two cells labelled with cell tracker blue are identified in DAPI channel). ( D ) Validation of the script by comparing differences in cell distribution, cell pairing, and dead cell identification at three different time points (t = 3 h, t = 4 h, and t = 10 h) in-between script generated data with manually counted data.

Article Snippet: Figure 1 Experimental setup of high-throughput droplet-based cytotoxicity platform. ( A ) Experimental schematics showing cytotoxicity platform that combines (i) droplet generation and cell pairing using microfluidics, (ii) droplet immobilization for real-time microscopy, (iii) automated image analysis using custom-made MATLAB script to allow unbiased and high throughput detection of cytotoxic events.

Techniques: Biomarker Discovery, Generated

Paired sample t -test of the last vs. first neurofeedback session in 18 subjects .

Journal: Frontiers in Human Neuroscience

Article Title: Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder

doi: 10.3389/fnhum.2015.00723

Figure Lengend Snippet: Paired sample t -test of the last vs. first neurofeedback session in 18 subjects .

Article Snippet: The goal of this study was to conduct neurofeedback in children with ASD using the PAT neurofeedback device with the “Focus/Neureka!” (“ Focused Attention” index and “40 Hz-centered Gamma” index) training protocol of Peak Achievement Trainer (PAT) neurofeedback device (Neurotek, Goshen, KY) to investigate: relative changes in EEG bands (e.g., theta [4–8 Hz]) and sub-bands of interest (e.g., low beta [13–18 Hz], high beta [18–30 Hz]) and their ratios (e.g., theta/low beta, etc.) throughout the entire 18 session long course of neurofeedback training in ASD, and during each individual training session using custom-made Matlab application, how gamma power and EEG bands power ratios are changing during individual sessions and between sessions within the course of neurofeedback training in high functioning individuals with ASD, and whether there are any correlation between EEG measures of interest (i.e., relative gamma power, theta/beta ratio) and neurofeedback training indices such as “Focused Attention” index and “40 Hz-centered Gamma” index (Cowan and Albers, ).

Techniques:

Linear regression of the theta/low beta ratio over 18 sessions of neurofeedback training in 18 children with ASD ( R = 0.666, y = −0.079x + 9.49, t = −3.57, p = 0.003) .

Journal: Frontiers in Human Neuroscience

Article Title: Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder

doi: 10.3389/fnhum.2015.00723

Figure Lengend Snippet: Linear regression of the theta/low beta ratio over 18 sessions of neurofeedback training in 18 children with ASD ( R = 0.666, y = −0.079x + 9.49, t = −3.57, p = 0.003) .

Article Snippet: The goal of this study was to conduct neurofeedback in children with ASD using the PAT neurofeedback device with the “Focus/Neureka!” (“ Focused Attention” index and “40 Hz-centered Gamma” index) training protocol of Peak Achievement Trainer (PAT) neurofeedback device (Neurotek, Goshen, KY) to investigate: relative changes in EEG bands (e.g., theta [4–8 Hz]) and sub-bands of interest (e.g., low beta [13–18 Hz], high beta [18–30 Hz]) and their ratios (e.g., theta/low beta, etc.) throughout the entire 18 session long course of neurofeedback training in ASD, and during each individual training session using custom-made Matlab application, how gamma power and EEG bands power ratios are changing during individual sessions and between sessions within the course of neurofeedback training in high functioning individuals with ASD, and whether there are any correlation between EEG measures of interest (i.e., relative gamma power, theta/beta ratio) and neurofeedback training indices such as “Focused Attention” index and “40 Hz-centered Gamma” index (Cowan and Albers, ).

Techniques:

Linear regression of the theta/high beta ratio over 18 sessions of neurofeedback training in 18 children with ASD [ R = 0.708, y = −0.088x + 6.24, t (17) = −4.01, p = 0.001] .

Journal: Frontiers in Human Neuroscience

Article Title: Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder

doi: 10.3389/fnhum.2015.00723

Figure Lengend Snippet: Linear regression of the theta/high beta ratio over 18 sessions of neurofeedback training in 18 children with ASD [ R = 0.708, y = −0.088x + 6.24, t (17) = −4.01, p = 0.001] .

Article Snippet: The goal of this study was to conduct neurofeedback in children with ASD using the PAT neurofeedback device with the “Focus/Neureka!” (“ Focused Attention” index and “40 Hz-centered Gamma” index) training protocol of Peak Achievement Trainer (PAT) neurofeedback device (Neurotek, Goshen, KY) to investigate: relative changes in EEG bands (e.g., theta [4–8 Hz]) and sub-bands of interest (e.g., low beta [13–18 Hz], high beta [18–30 Hz]) and their ratios (e.g., theta/low beta, etc.) throughout the entire 18 session long course of neurofeedback training in ASD, and during each individual training session using custom-made Matlab application, how gamma power and EEG bands power ratios are changing during individual sessions and between sessions within the course of neurofeedback training in high functioning individuals with ASD, and whether there are any correlation between EEG measures of interest (i.e., relative gamma power, theta/beta ratio) and neurofeedback training indices such as “Focused Attention” index and “40 Hz-centered Gamma” index (Cowan and Albers, ).

Techniques:

Linear regression of the “Focused Attention” index during 20 min long neurofeedback session (mean for all subjects across all sessions [ R = 0.576, y = 0.063x + 70.64 c.u., t (19) = 2.99, p = 0.008] .

Journal: Frontiers in Human Neuroscience

Article Title: Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder

doi: 10.3389/fnhum.2015.00723

Figure Lengend Snippet: Linear regression of the “Focused Attention” index during 20 min long neurofeedback session (mean for all subjects across all sessions [ R = 0.576, y = 0.063x + 70.64 c.u., t (19) = 2.99, p = 0.008] .

Article Snippet: The goal of this study was to conduct neurofeedback in children with ASD using the PAT neurofeedback device with the “Focus/Neureka!” (“ Focused Attention” index and “40 Hz-centered Gamma” index) training protocol of Peak Achievement Trainer (PAT) neurofeedback device (Neurotek, Goshen, KY) to investigate: relative changes in EEG bands (e.g., theta [4–8 Hz]) and sub-bands of interest (e.g., low beta [13–18 Hz], high beta [18–30 Hz]) and their ratios (e.g., theta/low beta, etc.) throughout the entire 18 session long course of neurofeedback training in ASD, and during each individual training session using custom-made Matlab application, how gamma power and EEG bands power ratios are changing during individual sessions and between sessions within the course of neurofeedback training in high functioning individuals with ASD, and whether there are any correlation between EEG measures of interest (i.e., relative gamma power, theta/beta ratio) and neurofeedback training indices such as “Focused Attention” index and “40 Hz-centered Gamma” index (Cowan and Albers, ).

Techniques:

Correlation of the theta/beta with the “Focused Attention” index during 20 min of neurofeedback training (across all sessions, r = −0.70, p = 0.001) .

Journal: Frontiers in Human Neuroscience

Article Title: Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder

doi: 10.3389/fnhum.2015.00723

Figure Lengend Snippet: Correlation of the theta/beta with the “Focused Attention” index during 20 min of neurofeedback training (across all sessions, r = −0.70, p = 0.001) .

Article Snippet: The goal of this study was to conduct neurofeedback in children with ASD using the PAT neurofeedback device with the “Focus/Neureka!” (“ Focused Attention” index and “40 Hz-centered Gamma” index) training protocol of Peak Achievement Trainer (PAT) neurofeedback device (Neurotek, Goshen, KY) to investigate: relative changes in EEG bands (e.g., theta [4–8 Hz]) and sub-bands of interest (e.g., low beta [13–18 Hz], high beta [18–30 Hz]) and their ratios (e.g., theta/low beta, etc.) throughout the entire 18 session long course of neurofeedback training in ASD, and during each individual training session using custom-made Matlab application, how gamma power and EEG bands power ratios are changing during individual sessions and between sessions within the course of neurofeedback training in high functioning individuals with ASD, and whether there are any correlation between EEG measures of interest (i.e., relative gamma power, theta/beta ratio) and neurofeedback training indices such as “Focused Attention” index and “40 Hz-centered Gamma” index (Cowan and Albers, ).

Techniques:

Linear regression of the relative power of Gamma band over 18 sessions of neurofeedback training in 18 children with ASD ( R = 0.491, y = 0.022x + 1.45%, t = 2.25, p = 0.039) .

Journal: Frontiers in Human Neuroscience

Article Title: Relative Power of Specific EEG Bands and Their Ratios during Neurofeedback Training in Children with Autism Spectrum Disorder

doi: 10.3389/fnhum.2015.00723

Figure Lengend Snippet: Linear regression of the relative power of Gamma band over 18 sessions of neurofeedback training in 18 children with ASD ( R = 0.491, y = 0.022x + 1.45%, t = 2.25, p = 0.039) .

Article Snippet: The goal of this study was to conduct neurofeedback in children with ASD using the PAT neurofeedback device with the “Focus/Neureka!” (“ Focused Attention” index and “40 Hz-centered Gamma” index) training protocol of Peak Achievement Trainer (PAT) neurofeedback device (Neurotek, Goshen, KY) to investigate: relative changes in EEG bands (e.g., theta [4–8 Hz]) and sub-bands of interest (e.g., low beta [13–18 Hz], high beta [18–30 Hz]) and their ratios (e.g., theta/low beta, etc.) throughout the entire 18 session long course of neurofeedback training in ASD, and during each individual training session using custom-made Matlab application, how gamma power and EEG bands power ratios are changing during individual sessions and between sessions within the course of neurofeedback training in high functioning individuals with ASD, and whether there are any correlation between EEG measures of interest (i.e., relative gamma power, theta/beta ratio) and neurofeedback training indices such as “Focused Attention” index and “40 Hz-centered Gamma” index (Cowan and Albers, ).

Techniques: