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Full-Text Articles in Life Sciences

Slit1a Rescue: Role Of Slit1a, Hss1a, Barresi Lab, Smith College Jun 2019

Slit1a Rescue: Role Of Slit1a, Hss1a, Barresi Lab, Smith College

Role of slit1a

No abstract provided.


Slit1a Rescue: Role Of Slit1a, Wt, Barresi Lab, Smith College Jun 2019

Slit1a Rescue: Role Of Slit1a, Wt, Barresi Lab, Smith College

Role of slit1a

No abstract provided.


Slit1a Rescue: Role Of Slit1a, Non-Hss1ayot, Barresi Lab, Smith College Jun 2019

Slit1a Rescue: Role Of Slit1a, Non-Hss1ayot, Barresi Lab, Smith College

Role of slit1a

No abstract provided.


Slit1a Rescue: Role Of Slit1a, Hss1ayot, Barresi Lab, Smith College Jun 2019

Slit1a Rescue: Role Of Slit1a, Hss1ayot, Barresi Lab, Smith College

Role of slit1a

No abstract provided.


Glial Bridge Development: 24 Hpf, Barresi Lab, Smith College Jun 2019

Glial Bridge Development: 24 Hpf, Barresi Lab, Smith College

Glial Bridge

No abstract provided.


Glial Bridge Development: 22 Hpf, Barresi Lab, Smith College Jun 2019

Glial Bridge Development: 22 Hpf, Barresi Lab, Smith College

Glial Bridge

No abstract provided.


Glial Bridge Development: 28 Hpf, Barresi Lab, Smith College Jun 2019

Glial Bridge Development: 28 Hpf, Barresi Lab, Smith College

Glial Bridge

No abstract provided.


Glial Bridge Development: 26 Hpf, Barresi Lab, Smith College Jun 2019

Glial Bridge Development: 26 Hpf, Barresi Lab, Smith College

Glial Bridge

No abstract provided.


Glial Bridge Development: 30 Hpf, Barresi Lab, Smith College Jun 2019

Glial Bridge Development: 30 Hpf, Barresi Lab, Smith College

Glial Bridge

No abstract provided.


Validation Experiment: Wild Type, Raw, At, Barresi Lab, Smith College Jun 2019

Validation Experiment: Wild Type, Raw, At, Barresi Lab, Smith College

Validation Experiment

No abstract provided.


Validation Experiment: Wild Type, Psi, Barresi Lab, Smith College Jun 2019

Validation Experiment: Wild Type, Psi, Barresi Lab, Smith College

Validation Experiment

No abstract provided.


Validation Experiment: You-Too, Probability, Barresi Lab, Smith College Jun 2019

Validation Experiment: You-Too, Probability, Barresi Lab, Smith College

Validation Experiment

No abstract provided.


Validation Experiment: Wild Type, Raw, Gfap, Barresi Lab, Smith College Jun 2019

Validation Experiment: Wild Type, Raw, Gfap, Barresi Lab, Smith College

Validation Experiment

No abstract provided.


Validation Experiment: Wild Type, Probability, Barresi Lab, Smith College Jun 2019

Validation Experiment: Wild Type, Probability, Barresi Lab, Smith College

Validation Experiment

No abstract provided.


Validation Experiment: You-Too, Raw, Barresi Lab, Smith College Jun 2019

Validation Experiment: You-Too, Raw, Barresi Lab, Smith College

Validation Experiment

No abstract provided.


Validation Experiment: You-Too, Psi, Barresi Lab, Smith College Jun 2019

Validation Experiment: You-Too, Psi, Barresi Lab, Smith College

Validation Experiment

No abstract provided.


Network Analyses Of Glomerular Capillaries, Jason Cory Brunson, Justin Sardi, Mark Terasaki May 2019

Network Analyses Of Glomerular Capillaries, Jason Cory Brunson, Justin Sardi, Mark Terasaki

Biology and Medicine Through Mathematics Conference

No abstract provided.


Flash4 Dark Reference Images, George Mcnamara Apr 2013

Flash4 Dark Reference Images, George Mcnamara

George McNamara

Hamamatsu FLASH4.0 dark reference images, acquired with 10 second exposure times, no light to camera. Camera offset (set by Hamamatsu( is ~100 (the average intensity of the first image is always ~1 intensity level higher - an odd feature, but trivial in practice for a 16-bit camera).

George McNamara, Ph.D.

Single Cells Analyst at L.J.N. Cooper Lab

University of Texas M.D. Anderson Cancer Center


Pubspectra Tattletales, George Mcnamara Feb 2013

Pubspectra Tattletales, George Mcnamara

George McNamara

Tattletales for Multiplex Fluorescent Reporters in Single Cells for Metabolomics

George McNamara

As of April 2013: L.J.N. Cooper & D.A. Lee Cellular Immunotherapy Lab, University of Texas M.D. Anderson Cancer Center, Houston, TX

Email: gtmcnamara@mdanderson.org, geomcnamara@earthlink.net

Tattletales is my concept for spatial multiplexing many fluorescent protein (FP) biosensors in the same live cell. For example, there are excellent FP biosensors to Ca++ ions, pH, glucose, ribose, glutamine, glutamate, ATP, redox, ROS, pyruvate, cAMP, cGMP, IP3, PI(3,4,5)P3, cell cycle indicators (Fucci2), PKA, PKC, photsphatases, caspase(s) [1, 2]. However, these are typically used one biosensor per experiment, due in part to flooding the cell with soluble biosensor. That is, conventionally, either a metabolite (glucose) reporter or a signal transduction (Ca++) reporter can be imaged. By flooding the cell with the reporter, signal to noise ratio is compromized by autofluorescence.

Tattletales takes advantage of spatial multiplexing to both increase the number of different reporters, and improve signal to noise ratio by localizing each biosensor to a small volume. I started with the observation by Robinett et al [3] who localized 512 GFP-nls-LacI to a 256 LacO array as a 200 nm diameter diffraction limited spot (nuclear background due to overexpression). Many thousands of DNA binding proteins, of known sequence specifities, exist (LacI, TetR, GalR, etc for cell line studies; ZF-FPs, TALE-FPs to STRs, telomere repeat binding factors-FPs, etc for primary cells) and can be fused (as cDNAs) to different fluorescent proteins and FP biosensors.

Many biosensors are available as affinity series [1, 4], now enabling extended dynamic range. I realized that spatial multiplexing of many DNA binding protein-reporters by localizing to different spots in the cell nucleus and distinguished by combinatorial addressing, where N address colors provide 2^N addresses (example, 3 colors is 2^3 = 8 combinations). Multiplexing ...


Halloween 2012 Jack O'Lanterns Trick Or Treat, George Mcnamara Oct 2012

Halloween 2012 Jack O'Lanterns Trick Or Treat, George Mcnamara

George McNamara

Halloween 2012 makes trick or treating more visual and interactive than in past years.

the download is a ZIP file containing three files.

Print out the (unnumbered) image on as large and nice printer paper as possible - I used glossy 44" wide here in Miami (University of Miami, MillerSchool of Medicine, Calder Library, Biomedical Communications dept - I also made another print on "fabric", also 44" wide to take with me to an HHMI Janelia Farm conference on 'turning images into knowledge' that ends on Oct 31 - might stay up for a second conference, "GFP..." that start Nov 4).

The other ...


Mcnamara 20120831fri-20120904tue Cosmic Ray Particles By Ccd Imaging, George Mcnamara Sep 2012

Mcnamara 20120831fri-20120904tue Cosmic Ray Particles By Ccd Imaging, George Mcnamara

George McNamara

McNamara 20120831Fri-20120904Tue Cosmic Ray Particles by CCD imaging.zip contains image files in support of a Microscopy Today article - please see

http://www.microscopy-today.com/


Cosmic Ray Particles Images With Orca-Ii Erg, George Mcnamara Aug 2012

Cosmic Ray Particles Images With Orca-Ii Erg, George Mcnamara

George McNamara

Cosmic ray particles image series acquired using a Hamamatsu ORCA-II ERG scientific grade CCD camera, cooled to -60 C. Each image is a consecutive 600 second (10 minute) exposure time with no light to the camera.

While processing the data, I discoverd that the background changed around planes 25 and 227 (see Excel file and jpeg screenshots), so I also processed only planes 025-227 (203 planes total, 2030 minutes, 33.83 hours). the CCD industry "rule of thumb" for a "typical" CCD sensor (i.e. 1/3" CCD) is that one cosmic ray particle strikes a sensor approximately every 30 ...


Pubspectra - Open Data Access Fluorescence Spectra, George Mcnamara Feb 2012

Pubspectra - Open Data Access Fluorescence Spectra, George Mcnamara

George McNamara

The Internet is enabling greater access to spectral imaging publications, spectral graphs, and data than that was available a generation ago. The spectral imaging systems discussed in this issue of Cytometry work because reagent and hardware spectra are reproducible, reusable, and provide input to spectral unmixing and spectral components recognition algorithms. These spectra need to be readily available in order to determine what to purchase, how to use it, and what the output means. We refer to several commercially sponsored and academic spectral web sites and discuss our spectral graphing and data sites. Sites include fluorescent dye graph servers from ...


Mcnamara 2011 Feature Extraction (Image Analysis), George Mcnamara Feb 2012

Mcnamara 2011 Feature Extraction (Image Analysis), George Mcnamara

George McNamara

Feature Extraction presentation and movies in a ZIP file from a presentation I gave at ISAC 2011 in Baltomore, Md.

Feature extraction is one phrase for image analysis.