Mostrando entradas con la etiqueta Transparencia. Mostrar todas las entradas
Mostrando entradas con la etiqueta Transparencia. Mostrar todas las entradas

viernes, 3 de enero de 2014

Getting CLARITY: Hydrogel process developed at Stanford creates transparent brain

Stanford bioengineers have transformed an intact, post-mortem mouse brain into a transparent three-dimensional structure that keeps all the fine wiring and molecular structures in place. Known as CLARITY, the technique stands to transform our understanding of the brain and indeed of any biological tissue.
Combining neuroscience and chemical engineering, researchers at Stanford University have developed a process that renders a mouse brain transparent. The postmortem brain remains whole — not sliced or sectioned in any way — with its three-dimensional complexity of fine wiring and molecular structures completely intact and able to be measured and probed with visible light and chemicals.

The process, called CLARITY, ushers in an entirely new era of whole-organ imaging that stands to fundamentally change our scientific understanding of the most important, but least understood of organs, the brain, and potentially other organs, as well.

The process is described in a paper to be published online April 10 in Nature by bioengineer and psychiatrist Karl Deisseroth leading a multidisciplinary team, including postdoctoral scholar Kwanghun Chung.

Studying intact systems with this sort of molecular resolution and global scope — to be able to see the fine detail and the big picture at the same time — has been a major unmet goal in biology, and a goal that CLARITY begins to address,” Deisseroth said.



CLARITY provides the ability to do a fly-through of an intact mouse brain using a fluorescent imaging technique on a complete brain that previously could only be performed on a brain sectioned into thin slices. (Video: Karl Deisseroth and Kwanghun Chung, Stanford University)

This feat of chemical engineering promises to transform the way we study the brain’s anatomy and how disease changes it,” said Thomas Insel, MD, director of the National Institute of Mental Health. “No longer will the in-depth study of our most important three-dimensional organ be constrained by two-dimensional methods.

The research in this study was performed primarily on a mouse brain, but the researchers have used CLARITY on zebrafish and on preserved human brain samples with similar results, establishing a path for future studies of human samples and other organisms.

CLARITY promises to revolutionize our understanding of how local and global changes in brain structure and activity translate into behavior,” said Paul Frankland, PhD, a senior scientist in neurosciences and mental health at the Hospital for Sick Children Research Institute in Toronto, who was not involved in the research. Frankland’s colleague, senior scientist Sheena Josselyn, PhD, added that the process could turn the brain from “a mysterious black box” into something essentially transparent. 

An inscrutable place

The mound of convoluted grey matter and wiring that is the brain is a complex and inscrutable place. Neuroscientists have struggled to fully understand its circuitry in their quest to comprehend how the brain works, and why, sometimes, it doesn’t.

CLARITY is the result of a research effort in Deisseroth’s lab to extract the opaque elements — in particular the lipids — from a brain and yet keep the important features fully intact. Lipids are fatty molecules found throughout the brain and body. In the brain, especially, they help form cell membranes and give the brain much of its structure. Lipids pose a double challenge for biological study, however, because they make the brain largely impermeable both to chemicals and to light.

Neuroscientists would have liked to extract the lipids to reveal the brain’s fine structure without slicing or sectioning, but for one major hitch: removing these structurally important molecules causes the remaining tissue to fall apart.

Prior investigations have focused instead on automating the slicing/sectioning approach, or in treating the brain with organic molecules that facilitate the penetration of light only, but not macromolecular probes. With CLARITY, Deisseroth’s team has taken a fundamentally different approach.

“We drew upon chemical engineering to transform biological tissue into a new state that is intact but optically transparent and permeable to macromolecules,” said Chung, the paper’s first author.

This new form is created by replacing the brain’s lipids with a hydrogel. The hydrogel is built from within the brain itself in a process conceptually similar to petrification, using what is initially a watery suspension of short, individual molecules known as hydrogel monomers. The intact, postmortem brain is immersed in the hydrogel solution and the monomers infuse the tissue. Then, when “thermally triggered,” or heated slightly to about body temperature, the monomers begin to congeal into long molecular chains known as polymers, forming a mesh throughout the brain. This mesh holds everything together, but, importantly, it does not bind to the lipids.

With the tissue shored up in this way, the team is able to vigorously and rapidly extract lipids through a process called electrophoresis. What remains is a 3-D, transparent brain with all of its important structures — neurons, axons, dendrites, synapses, proteins, nucleic acids and so forth — intact and in place.

Going things one better

CLARITY then goes one better. In preserving the full continuity of neuronal structures, CLARITY not only allows tracing of individual neural connections over long distances through the brain, but also provides a way to gather rich, molecular information describing a cell’s function is that is not possible with other methods.

We thought that if we could remove the lipids nondestructively, we might be able to get both light and macromolecules to penetrate deep into tissue, allowing not only 3-D imaging, but also 3-D molecular analysis of the intact brain,” said Deisseroth, who holds the D.H. Chen Professorship.

Using fluorescent antibodies that are known to seek out and attach themselves only to specific proteins, Deisseroth’s team showed that 
  • it can target specific structures within the CLARITY-modified — or “clarified” — mouse brain and 
  • make those structures and only those structures light up under illumination. The researchers 
  • can trace neural circuits through the entire brain or 
  • explore deeply into the nuances of local circuit wiring. They 
  • can see the relationships between cells and 
  • investigate subcellular structures. They
  • can even look at chemical relationships of protein complexes, nucleic acids and neurotransmitters.
Being able to determine the molecular structure of various cells and their contacts through antibody staining is a core capability of CLARITY, separate from the optical transparency, which enables us to visualize relationships among brain components in fundamentally new ways,” said Deisseroth, who is one of 15 experts on the “dream team” that will map out goals for the $100 million brain research initiative announced April 2 by President Obama.

A three-dimensional rendering of clarified brain imaged from below (ventral half). (Image: Courtesy of the Deisseroth lab)

And in yet another significant capability from a research standpoint, researchers are now able to destain the clarified brain, flushing out the fluorescent antibodies and repeating the staining process anew using different antibodies to explore different molecular targets in the same brain. This staining/destaining process can be repeated multiple times, the authors showed, and the different data sets aligned with one another.

Opening the door

CLARITY has accordingly made it possible to perform highly detailed, fine-structural analysis on intact brains — even human tissues that have been preserved for many years, the team showed. Transforming human brains into transparent-but-stable specimens with accessible wiring and molecular detail may yield improved understanding of the structural underpinnings of brain function and disease.

Beyond the immediate and apparent benefit to neuroscience, Deisseroth cautioned that CLARITY has leapfrogged our ability to deal with the data. “Turning massive amounts of data into useful insight poses immense computational challenges that will have to be addressed. We will have to develop improved computational approaches to image segmentation, 3-D image registration, automated tracing and image acquisition,” he said.

Indeed, such pressures will increase as CLARITY could begin to support a deeper understanding of large-scale intact biological systems and organs, perhaps even entire organisms.

Of particular interest for future study are intrasystem relationships, not only in the mammalian brain but also in other tissues or diseases for which full understanding is only possible when thorough analysis of single, intact systems can be conducted,” Deisseroth said. “CLARITY may be applicable to any biological system, and it will be interesting to see how other branches of biology may put it to use.

Other co-authors include undergraduate student Jenelle Wallace; graduate students Sung-Yon Kim, Kelly Zalocusky, Joanna Mattis, Aleksandra Denisin and Logan Grosenick; research assistants Sandhiya Kalyanasundaram, Julie Mirzabekov, Sally Pak and Charu Ramakrishnan; postdoctoral scholars Aaron Andalman, PhD, and Tom Davidson, PhD; former undergraduate student Hannah Bernstein; and former staff scientist Viviana Gradinaru.

The research is supported by the National Institute of Mental Health (grant MH099647); the National Science Foundation; the Simons Foundation; the President and Provost of Stanford University; the Wiegers, Snyder, Reeves, Gatsby and Yu foundations; the DARPA REPAIR program; and the Burroughs Wellcome Fund.

Information about Stanford’s Department of Bioengineering, which also supported the work, is available at http://bioengineering.stanford.edu. The department is jointly operated by the School of Engineering and the School of Medicine.

Andrew Myers is associate director of communications for the Stanford University School of Engineering.


ORIGINAL: Stanford U
Andrew Myers | Stanford Engineering 

 Tom Abate
tabate@stanford.edu
Jamie Beckett
jbeckett@stanford.edu
April 10, 2013

domingo, 9 de junio de 2013

IBM's Smarter Approach to Contextual Cities

ORIGINAL: Forbes
Shel Israel, Contributor
6/03/2013

NOTE–I am writing a book called Age of Context with Robert Scoble. It is expected to be complete in October. Following is an excerpt from a chapter called Contextual Cities and the New Urbanists.

Herman Hollerith was born in Buffalo in the late 1800s. He studied to be a mining engineer and wound up teaching at MIT. It is said he tinkered a lot, and in 1890, he invented the first electric tabulating machine.

Finding that it could count heads with unprecedented speed, the US Census Bureau became Hollerith’s first customer. He thought the new machine might provide him with a business opportunity, so he founded the Tabulating Machine Company [TMC].

Over the next few years, TMC merged with several other companies, one the maker of a cheese-slicing device. When Thomas J. Watson became president in 1915, he focused on making machines for businesses worldwide. Watson was fond of the literal and straightforward. He renamed the merged entity International Business Machines, or IBM for short.

IBM, the most enduring of all technology companies, has a long history of reinventing itself as times change. It has transcended from tabulating machines to mainframes, to PCs, to providing software and services for large organizations.

IBM does quite well in its current business, but so do several other companies and to outsiders each seems to closely resemble the other.

Perhaps it was with that in mind that in 2006, the company set up a series of meetings with employees, partners and customers called ‘innovation jams.’ To see its own future, IBM stepped back to look at global issues, such as population, pollution, economics and health.

They started examining how their current team of over 425,000 employees in about 200 countries could use their existing skills to make a better world and in so doing, strengthen the company’s software and services position.

Among IBM’s assets is that it understands data and uses it to devise anticipatory systems that predict unforeseen events. IBM has taken that and is applying it to its Smarter Planet initiative, addressing the complex global issues of health, banking and cities.

The Smarter Cities initiative is now a global business for IBM, with projects all over the world. When they examine urban centers, they watch for emerging patterns from which IBM can glean insights for municipal clients. Pattern recognition lets them identify problems sooner, and resolve them faster.

Although the practice is just a few years old, IBM has already accumulated a few impressive accomplishments. While the company is globally focused, we asked them specifically about US-based projects. Here are our favorites of the ones they submitted:
  • Memphis. Police say that IBM’s predictive analytics have helped them identify criminal hot spots that allow them to anticipate where—and when– serious crimes are likely to occur. Based on the data, they reallocated patrol cars and other resources, reducing major and violent crime by as much as 30 percent. Pattern recognition also helps police understand trends that previously went unnoticed. For example, they now know that on rainy nights, car theft rises.
  • San Francisco. IBM’s use of data and embedded sensors has reduced pollution emanating from the city’s thousand miles of sewer lines. Public utilities reports that IBM’s preventive intelligence has helped reduce repair costs by 11 percent.
  • Chattanooga-Hamilton County. The county uses IBM predictive analytics to understand how adverse patterns develop. This allows them to identify at-risk children earlier, so educators can adjust personal attention and curriculum a factor in increasing the graduation rate by eight percent. One facility, the Howard School of Academics and Technology reported a 200 percent increase in the graduation rate over the program’s first six years.
  • Miami-Dade County. IBM has helped the 35 Dade County municipalities to share data, thus making it easier to collaborate in a wide array of areas including water, transportation, and law enforcement. They are also sharing contextual technologies to make government more transparent. A new water project alone is expected to save the county $1 million per year.
Contextual City Startups

IBM has also served as a global recruiter, mentor and partner for startups focused on solving city problems with contextual technology. A few who are associated with IBM to various degrees include:
  • Bitcarrier, a Barcelona-based startup has created a contextual traffic platform, comprised of sensors, Wifi, and just a little intelligence,Ricardo Fernandez, the company’s chief operating officer told us. The platform gathers data from up to 20 million points daily across a city’s grid, shown on municipal traffic ‘heat maps.’ Managers use the information to reroute traffic, simultaneously reducing traffic, noise and air pollution. The sensors replace cameras, increasing privacy and reducing costs by up to 90 percent, Fernandez estimated. Traffic administrators can respond quickly to accidents and other surprises. Bitcarrier also improves public transportation systems. City buses adjust so they don’t drive around half-empty, and extra buses can be dispatched more quickly. Most cities cannot adjust traffic signals to accommodate events such as a concert because they run on data that is up to three-years-old and can’t adjust to current information. When we talked in March 2013, Bitcarrier was in use in Panama City, Helsinki, Barcelona, Madrid and Zaragosa, Spain and in late discussions with several additional cities.   
    No video? Get the Adobe Flash Plugin

  • Libelium was also a Spanish-based finalist in IBM SmartCamp, a global series of IBM-sponsored startup competitions. Libelium is Latin for dragonfly. CEO Alicia Asin explained that the company is focused on the Internet of Things that we described in Chapter 1. The company deploys insect-like swarms of tiny sensors called motes, which report on changes in a wide range of activities impacting safety, efficiency, vegetation growth and sustainability. It is an open sensor platform that was being used by over 2000 developers in April 2013. Libelium technology helps vineyards decide on which varietals of grapes to grow based on environmental conditions. Libelium’s main business is creating smart parking systems, mostly in urban areas, all over the world. Magnetic sensors are installed under pavement to determine whether a car is parked in a space or not. The system sees the GPS of a car looking for parking and can direct it to the nearest open spot via a mobile app. According to Asin, the smart parking system is politically popular because it pays for itself by ensuring cars pay to park or get fined. The efficiency reduces air and noise pollution. ibelium’s most dramatic sensor effort was in Fukushima, Japan following the 2011 nuclear disaster. Upon the government’s request, Libelium designed a sensor panel that was installed in and around areas suspected of radiation contamination. Each panel served as an autonomous, wireless Geiger counter, which then broadcasted realtime information into a cloud-based open network. Citizens published radiation readings from their locations to the site, and those measurements appeared on a map alongside values from inside contaminated zones. “After a couple of weeks, we had a radiation map of Japan. It represented a common thought for people to share and be helpful to all,” Asin said. “It’s where I came to understand the power of citizens in a Smart Cities program.” Moving forward, the system will help the country respond faster and more effectively if another tsunami strikes. 
  • Nooly, the Israeli-based hyper-local sensor-based weather detection service we told you about in our contextual car chapter, is another early-phase company working with IBM in various cities. Unlike conventional weather forecasts, Nooly covers small distances and sees weather changes one or two hours before they hit, including hurricanes, snowstorms or flooding. According to CEO Yaron Reich, Nooly can warn cities when weather is about to cause traffic snarls and where accidents are likely to happen. Cities can use the short lead-time to make fast routing adjustments. Reich sees places where Nooly sensors could even save lives. The sensors could detect a flash flood and underground crews could be warned to evacuate to avoid drowning. Likewise, Nooly can serve as a tool for first responders such as firefighters who need to understand wind, rain, and other factors. Less dramatically, Nooly can help cities save money and provide more efficient services. While municipal power consumption is usually predictive along seasonal patterns, they cannot account for heat waves or frost where quick grid adjustments can save energy and costs. Likewise, Nooly can predict evaporation rates in public parks during excessively hot days and can adjust watering systems accordingly. 
  • Waze, the Israeli startup, we talked about in the previous chapter, can help cities get smarter about changing traffic light patterns to reduce traffic. Users help each other route around trouble spots, reducing travel times for people, but also helping urban traffic run more efficiently. By providing realtime data that can help traffic managers reroute traffic around trouble spots and show the best place to find parking, restrooms, or motorist amenities.

viernes, 13 de julio de 2012

Keystone XL Pipeline Mapping Project


Gadgets powered by Google


These galleries are comprised of selected images from the Keystone Mapping Project Google Earth view. Learn to use the KMP Google help page.

KXL Voluntary Evacutation Zone


KXL Voluntary Evacuation Zone
Aerial views of KXL 2-mile wide Voluntary Evacuation Zone:

Montana »»
South Dakota »»
Nebraska »»
Oklahoma »»
Texas »»

Additional KMP Google Earth views are available here.

The Keystone Mapping Project provides the public with detailed route information for the proposed Keystone XL Pipeline. Neither TransCanada Corporation nor the U.S. Department of State (DOS) have been forthcoming with this project’s GIS information. This has made it impossible to evaluate the potential environmental impacts of the Keystone XL pipeline.

Overview
The Keystone XL is part of the Keystone Pipeline System proposed by TransCanada in 2005 to deliver synthetic crude oil and diluted bitumen (tar sands oil) from Alberta, Canada to Houston, Texas in the United States. The proposed route from the international border between the United States and Canada will run through Montana, South Dakota, Nebraska, Kansas, Oklahoma, and Texas.

The lead agency in the United States for approval of this project is the DOS, who published the Final Environmental Impact Statement (FEIS) for the Keystone XL on their website in 2011.

Conspicuously missing from the FEIS are the location data for the pipeline milepost markers (MP). The MP markers are critically necessary for the interpretation of the FEIS. They are repeatedly referenced throughout both the project and DOS documents and are key reference points for all discussions of the pipeline route, potential environmental impacts, and surrounding points of interest.
Oil Pipeline Routing Data are Public Information

Federal and state agencies consider oil and gas pipeline GIS data to be public information. Such agencies include the Federal Energy Regulatory Commission (FERC), the US Department of Transportation Pipeline and Hazardous Materials Safety Administration(PHMSA), the Texas Railroad Commission, the Montana Department of Environmental Quality, and the South Dakota Department of Environment and Natural Resources.

Difficulty in Obtaining Data
Regardless of the fact that the GIS data are necessary to evaluate the FEIS, neither TransCanada nor the DOS will release the Keystone XL GIS data. The data found on this site were obtained from these sources.

TransCanada employees give disparate reasons for not making the GIS data available, the most common being that pipeline data is a Homeland Security issue (this from a Canadian company). More frankly, some TransCanada engineers have referred me to the company’s Community Relations department. Community Relations claims that only general maps are available for proposed routes. This indicates that, by design, proposed routes are not intended to be reviewed.

Calling into question the thoroughness of the evaluation of the FEIS is the government’s claim that I am the only person in the country to request the MP data. The information is considered to be sensitive and, as the project has officially been denied by the President, the DOS does not feel obligated to release it. President Obama undermined this position when he recently voiced support for construction of the southern portion of the route from Cushing, Oklahoma to Port Arthur, Texas. By approving this key segment of the pipeline, the President has clearly signaled his imminent approval of the entire Keystone XL pipeline and delivery of tar sands oil to our southern ports.

The lack of transparency by both the project’s sponsor and the DOS, calls into question the process leading to approval of the FEIS and, thus, the viability and true consequences of the Keystone XL itself.
Freedom of Information Request Act Request

I have filed a FOIA request and will make more data available as I receive it.

- Thomas Bachand
Author & Photographer