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Full-Text Articles in Biology

Art And Illustration Resource For Cell And Molecular Biology: What We Know & How We Found Out, Gerald Bergtrom Oct 2022

Art And Illustration Resource For Cell And Molecular Biology: What We Know & How We Found Out, Gerald Bergtrom

Cell and Molecular Biology 5e: What We Know and How We Found Out - All Versions

This Art & Illustration Resource contains the figures (photographs, illustrations etc.) in the 5th edition Cell and Molecular Biology; What We Know AND How We Found Out (all versions). The images are high-resolution JPG files, sufficient for projection in large size classrooms, and thus useful for creating or supplementing PowerPoint or similar presentations to support classroom, online teaching and learning, and/or to support in-class or homework assignments. Just download and extract the zipped folder to access the chapter-by-chapter numbered figure files. The images are also Open Access (either public domain, CC-licensed, or equivalent). The Chapter-by-Chapter folders come with a …


Viropana (Vna) 1, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh Jan 2021

Viropana (Vna) 1, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh

Components of a Regeneration Toolkit: Notophthalmus viridescens

Viropana (vna) 1

  • ID – vna 1

  • Details – Gene from a novel protein family belonging to the regeneration toolkit of Notophthalmus viridescens

  • Base pairs – 492


Viropana (Vna) 2, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh Jan 2021

Viropana (Vna) 2, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh

Components of a Regeneration Toolkit: Notophthalmus viridescens

Viropana (vna) 2

  • ID – vna 2
  • Details – Gene from a novel protein family belonging to the regeneration tool kit of Notophthalmus viridescens
  • Base pairs – 396


Viropana (Vna) 5, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh Jan 2021

Viropana (Vna) 5, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh

Components of a Regeneration Toolkit: Notophthalmus viridescens

Viropana (vna) 5

  • ID – vna 5
  • Details – Gene from a novel protein family belonging to the regeneration toolkit of Notophthalmus viridescens
  • Base pairs – 391


Viropana (Vna) 3, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh Jan 2021

Viropana (Vna) 3, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh

Components of a Regeneration Toolkit: Notophthalmus viridescens

Viropana (vna) 3

  • ID – vna 3
  • Details – Gene from a novel protein family belonging to the regeneration toolkit of Notophthalmus viridescens
  • Base pairs – 426


Viropana (Vna) 4, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh Jan 2021

Viropana (Vna) 4, Abijeet Singh Mehta, Panagiotis A. Tsonis, Amit Singh

Components of a Regeneration Toolkit: Notophthalmus viridescens

Viropana (vna) 4

  • ID – vna 4
  • Details – Gene from a novel protein family belonging to the regeneration toolkit of Notophthalmus viridescens
  • Base pairs – 501


Ap1 Balance Between Concentration And Charge Is A Donnan Equilibrium, Paul D. Heideman Jun 2017

Ap1 Balance Between Concentration And Charge Is A Donnan Equilibrium, Paul D. Heideman

Paul Heideman

No abstract provided.


Human Anatomy And Physiology Preparatory Course: Part 3 Of 4 (Interactive), Carlos Liachovitzky Jan 2016

Human Anatomy And Physiology Preparatory Course: Part 3 Of 4 (Interactive), Carlos Liachovitzky

Open Educational Resources

he overall purpose of these preparatory course set of learning objectives is to help students familiarize with some terms and some basic concepts they will find later in the Human Anatomy and Physiology I course.

These 40+ learning objectives to prepare for Human Anatomy and Physiology can be downloaded and played in a desktop, or laptop (windows exe file).

The entire course has four parts:

Each learning objective is followed by a set of multiple choice question similar to those found later in a Human Anatomy and Physiology course.


Human Anatomy And Physiology Preparatory Course: Part 4 Of 4 (Interactive), Carlos Liachovitzky Jan 2016

Human Anatomy And Physiology Preparatory Course: Part 4 Of 4 (Interactive), Carlos Liachovitzky

Open Educational Resources

The overall purpose of these preparatory course set of learning objectives is to help students familiarize with some terms and some basic concepts they will find later in the Human Anatomy and Physiology I course.

These 40+ learning objectives to prepare for Human Anatomy and Physiology can be downloaded and played in a desktop, or laptop (windows exe file).

The entire course has four parts:

Each learning objective is followed by a set of multiple choice question similar to those found later in a Human Anatomy and Physiology course.


Mcnamara 2010 Metamatters Newletter Series - Rogers Pmn The Chase And Temporal Area Maps, George Mcnamara Jun 2015

Mcnamara 2010 Metamatters Newletter Series - Rogers Pmn The Chase And Temporal Area Maps, George Mcnamara

George McNamara

My four 2010 MetaMorph MetaMatters newsletter articles on "The Chase" (video available for download here on my bepress site) and history / use of temporal area maps.


Timelapse Data - Gm Imaging Cytometer Needs Stitching Part 1 Of 2, George Mcnamara Jul 2014

Timelapse Data - Gm Imaging Cytometer Needs Stitching Part 1 Of 2, George Mcnamara

George McNamara

Timelapse data - GM imaging cytometer needs stitching part 1 of 2

Imaging challenge: align multiple time series over time to overcome "stage slop" in the imaging cytometer used in this experiment.

http://works.bepress.com/gmcnamara/53 (this)

and

http://works.bepress.com/gmcnamara/54 (next)

are zip files containing 8-bit stacks (MetaMorph multiplane TIFF files) acquired on an imaging cytometer.

"53" is the brightfield data, raw and automatic aligned stacks in MetaMorph (Apps menu, MM7.8.6).

"54" is GFP fluorescence, raw and automatic aligned stacks in MetaMorph (Apps menu, MM7.8.6). The GFP fluorescence decreases over time due to photobleaching. GFP disappears from cells when they die (soluble GFP diffusing …


Timelapse Data - Gm Imaging Cytometer Needs Stitching Part 2 Of 2, George Mcnamara Jul 2014

Timelapse Data - Gm Imaging Cytometer Needs Stitching Part 2 Of 2, George Mcnamara

George McNamara

Timelapse data - GM imaging cytometer needs stitching part 2 of 2

Imaging challenge: align multiple time series over time to overcome "stage slop" in the imaging cytometer used in this experiment.

http://works.bepress.com/gmcnamara/53 (previous) and http://works.bepress.com/gmcnamara/54 (this)

are zip files containing 8-bit stacks (MetaMorph multiplane TIFF files) acquired on an imaging cytometer.

"53" is the brightfield data, raw and automatic aligned stacks in MetaMorph (Apps menu, MM7.8.6). "54" is GFP fluorescence, raw and automatic aligned stacks in MetaMorph (Apps menu, MM7.8.6). The GFP fluorescence decreases over time due to photobleaching. GFP disappears from cells when they die (soluble GFP diffusing …


Stellaris Fishing 20131125mon Part 2 Of 2, George Mcnamara Nov 2013

Stellaris Fishing 20131125mon Part 2 Of 2, George Mcnamara

George McNamara

Stellaris FISH dataset using three FISH probe sets.

Slides courtesy of Biosearch Technologies,

https://www.biosearchtech.com/store/product.aspx?catid=224,318,324

see http://stellarisfish.smugmug.com/ for online gallery by Biosearch.

This experiment was to evaluate the crosstalk between the Biosearch fluorophores:

Quasar 570

CAL Fluor Red 610 (CFR 610)

Quasar 670

DAPI (DNA counterstain)

Autofluorescence (green, but sometimes showing up in other channels).

and our lab's Leica DMI6000 fluorescence microscope with Leica filter sets:

DAPI

GFP (L5)

Cy3 (N3)

Texas Red (TxRed2)

Cy5 (Y5)

I also acquired green channel and red channel with exciter filters in our ASI excitation wheel:

GFP + 492 exciter

Texas Red (TxRed2) + 572 …


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 …


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 …


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 seconds (assuming not …


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.