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Showing posts with label images. Show all posts
Showing posts with label images. Show all posts

Friday, July 27, 2012

High-speed CMOS sensors provide better images

ScienceDaily (Jan. 13, 2012) — Conventional CMOS image sensors are not suitable for low-light applications such as fluorescence, since large pixels arranged in a matrix do not support high readout speeds. A new optoelectronic component speeds up this process. It has already been patented.

CMOS image sensors have long since been the solution of choice for digital photography. They are much cheaper to produce than existing sensors, and they are also superior in terms of power consumption and handling. Consequently, leading manufacturers of cell-phone and digital cameras fit CMOS chips in their products almost without exception. This not only reduces the demands made of the battery, it also makes increasingly smaller cameras possible.

Yet these optical semiconductor chips are now reaching their limits: while miniaturization in consumer electronics is leading to increasingly smaller pixels around 1 micrometer across, certain applications require larger pixels in excess of 10 micrometers. Particularly in areas where only minimal light is available, such as in X-ray photography or in astronomy, having a larger pixel area compensates for the lack of light. Pinned photodiodes (PPD) are used to convert the light signals into electrical pulses. These optoelectric components are crucial for image processing and are built into the CMOS chips. "Yet when the pixels exceed a certain size, the PPDs have a speed problem," explains Werner Brockherde, head of department at the Fraunhofer Institute for Microelectronic Circuits and Systems IMS. Low-light applications tend to call for high image rates. "But the readout speed using PPD is too low," says Brockherde.

The Fraunhofer researchers have now come up with a solution to this problem -- it is unique and has already been patented. The scientists have developed a new optoelectronic component, the lateral drift field photodetector (LDPD). "In this component, the charge carriers generated by the incident light move at high speed to the readout node," explains the researcher. With the PPD the electrons simply diffuse to the exit; a comparatively slow process but which is sufficient for many applications. "But by integrating an internal electric field into the photoactive region of the component, we have managed to accelerate this process by a factor of up to a hundred."

To produce the new component, the Fraunhofer researchers improved upon the currently available CMOS chip manufacturing process based on the 0.35 µm standard: "The additional LDPD component must not be allowed to impair the properties of the other components," says Brockherde. Using simulation calculations the experts managed to meet these requirements -- and a prototype of the new high-speed CMOS image sensors is already available. "We expect to get approval for series production next year," says Brockherde.

The high-speed CMOS sensors are ideal candidates for applications that require large pixels and a high readout speed: astronomy, spectroscopy or state-of-the-art X-ray photography are among the potential applications. But the sensors are also ideally suited for use as 3-D sensors based on the time-of-flight process, whereby light sources emit short pulses that are reflected by the objects. The time-of-flight of the reflected light is then recorded by a sensor and used to create a fully-fledged 3-D image. This technology is a compelling proposition for applications such as crash protection, as the sensors can precisely record their environment in three dimensions. The Fraunhofer researchers have already developed this kind of area sensor based on the unique pixel configuration for TriDiCam GmbH.

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The above story is reprinted from materials provided by Fraunhofer-Gesellschaft.

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Tuesday, July 17, 2012

Software for analyzing digital pathology images proving its usefulness

ScienceDaily (Jan. 13, 2012) — As tissue slides are more routinely digitized to aid interpretation, a software program whose design was led by the University of Michigan Health System is proving its utility.

In bladder cancer test case, a new software tool developed at U-M separates malignancy from background tissue.

In a new study, a program known as Spatially Invariant Vector Quantization (SIVQ) was able to separate malignancy from background tissue in digital slides of micropapillary urothelial carcinoma, a type of bladder cancer whose features can vary widely from case to case and that presents diagnostic challenges even for experts.

The findings by U-M and Rutgers University researchers were published online in Analytical Cellular Pathology ahead of print publication.

"Being able to pick out cancer from background tissue is a key test for this type of software tool," says U-M informatics fellow Jason Hipp, M.D., Ph.D., who shares lead authorship of the paper with resident Steven Christopher Smith, M.D., Ph.D. "This is the type of validation that has to happen before digital pathology tools can be widely used in a clinical setting."

To test the software's ability to identify cancer in a digital slide, a group of human pathologists first pinpointed the cancer the old fashioned way, by hand. Their work was then used as the gold standard for grading the program's results. Researchers then systematically tested which settings within the program produced the most accurate results -- which can serve as a blueprint for optimizing the software to detect other types of cancer and disease.

Diagnosing cancer and other pathologies from tissue slides has always been part science and part art. Pathologists pore over samples looking for certain structural anomalies or counting microscopic features.

But different pathologists -- or even the same pathologist at different times -- may come to different conclusions based on a number of factors, including whether a slide is viewed at high or low magnification, or even whether the pathologist is fatigued from examining dozens of other slides that day, the researchers say.

Digital tools like SIVQ can help pathologists to quickly, accurately and efficiently identify features on a slide with just a few clicks; to quickly calculate the area of an irregularly shaped feature; or to eliminate the slow and painstaking tallying of tiny elements.

Still, the authors stress, the program isn't intended to replace the skill and art of human pathologists, but to provide an additional resource.

"Not only do our findings show that SIVQ has the potential to be a useful tool in surgical pathologists' toolkits when optimized to aid detection of such a highly variable disease, but the case is an excellent example for how the same approach might be applied to a variety of clinical areas," says Ulysses Balis, M.D., director of the division of pathology informatics at U-M and the paper's senior author.

Balis led the software's design at U-M along with Hipp and former informatics fellow Jerome Cheng, M.D.

Unlike other pattern recognition software, SIVQ bases its matches on a set of concentric rings rather than the usual square block. This allows features to be identified no matter how they're rotated or whether they're flipped, as in a mirror.

An example of the program's flexibility was recently demonstrated by Bruce P. Levy, M.D., a research fellow in pathology at Harvard Medical School. Testing the program's utility in a forensic pathology setting, SIVQ was used to calculate the area of bullet wounds and to identify and quantify stippling, which are small scrapes surrounding some gunshot wounds that help to determine the distance from which a gun was fired.

"Being able to use software like SIVQ to analyze forensic images helps to bring the practice of forensic pathology closer to the high-tech fictional world of CSI," Levy says.

Since the computer-aided analysis of micropapillary urothelial carcinoma might contribute to patient care, the group is making all of their primary data freely available to other doctors and researchers at U-M's online digital imaging repository, www.WSIrepository.org.

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The above story is reprinted from materials provided by University of Michigan Health System.

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Journal Reference:

Jason Hipp and Steven Christopher Smith et al. Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm. Analytical Cellular Pathology, Volume 35, Number 1 / 2012

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Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.


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Wednesday, July 11, 2012

Stretching exercises: Using digital images to understand bridge failures

ScienceDaily (Jan. 11, 2012) — With a random-looking spatter of paint specks, a pair of cameras and a whole lot of computer processing, engineer Mark Iadicola of the National Institute of Standards and Technology (NIST) has been helping the Federal Highway Administration (FHWA), in cooperation with the American Association of State Highway and Transportation Officials (AASHTO), to assure the safety of hundreds of truss bridges across the United States. Iadicola has been testing the use of a thoroughly modern version of an old technique -- photographic measurement or "photogrammetry" -- to watch the failure of a key bridge component in exquisite detail.

The impetus for the FHWA project was the disastrous collapse of the Interstate 35-W bridge in Minneapolis, Minnesota. On Aug. 1, 2007, in the middle of the evening rush hour, a thousand feet of the bridge's main deck truss collapsed, part of it falling 108 feet into the Mississippi River. Thirteen people died. One hundred and forty five were injured.

According to FHWA engineer Justin Ocel, an investigation by the National Transportation Safety Board (NTSB), assisted by FHWA, determined that the immediate culprit was a failed gusset plate, a flat heavy piece of steel bolted in pairs to join the ends of the steel members that make up the bridge truss. As a result of a design error decades before, the gusset plates in the bridge were about half as thick as they should have been.

Although that design flaw was clearly a major factor in the disaster, Ocel says, the collapse highlighted the fact that gusset plates were not generally considered by engineers during periodic reviews of bridge capacity, a process called load rating. It was assumed that gusset plates were properly sized to be stronger than the members they connect. "One of the recommendations from the NTSB was that we include gusset plates in load ratings, and until that point it hadn't been done," Ocel explains. "To assist the states with this process we developed a guidance document on how to load rate gusset plates."

In developing the guidance, Ocel says, FHWA used the best available data on the failure modes of gusset plates in major bridges -- but there wasn't much. So at the FHWA's Turner-Fairbank Highway Research Center in Virginia they began building full-scale models of bridge gusset plate joints and pulling them apart with a huge hydraulic test machine.

NIST's Iadicola is there to watch what happens as the plate stretches and fails. He covers the plate with an irregular pattern of paint speckles and then trains a pair of carefully calibrated, high-definition digital cameras on it. The cameras repeatedly image the plate, send the pictures to a computer that uses custom software to compare each image to the previous one, and calculate which of the paint spots have moved, in what direction and by how much. Using two cameras allows the computer to "see" the plate in three dimensions, so it can tell if points on the surface move in or out as well as up, down or sideways.

"The NIST digital image correlation method is a good complement to the FHWA measurement methods," Iadicola explains. "Their techniques -- strain gages and photoelasticity -- are very good for the normal range of stress in which the plate will stretch and spring right back to its original shape. Our method can tell you a little about that, but it really shines in showing you what happens past that point, when the plate starts permanently deforming and finally rips apart. The failure modes."

After more than a year of experiments, Ocel says, the FHWA has learned a lot about how to predict what loads will cause a gusset plate to fail. Currently, FHWA is working with AASHTO to translate those findings into language that can be adopted into the AASHTO Bridge Design Specification and Manual for Bridge Evaluation, two documents used throughout the country for designing and load rating bridges.

The FHWA project is just one of a range of applications for digital image correlation being studied at NIST, Iadicola says. "We've been using it in looking at sheet metal forming -- you have very high strains during the forming process -- and we've used it at very small scales, looking at targets with an optical microscope."

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The above story is reprinted from materials provided by National Institute of Standards and Technology (NIST).

Note: Materials may be edited for content and length. For further information, please contact the source cited above.

Note: If no author is given, the source is cited instead.

Disclaimer: Views expressed in this article do not necessarily reflect those of ScienceDaily or its staff.


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Tuesday, August 9, 2011

Droid Bionic images appear, possibly with a 4.5-inch display

It seems that a whole mess of Motolora Droid Bionic images just turned up on the internet. Android blog Droid-Life has posted a number of shots of what looks to be the upcoming Verizon 4G superphone, including one very interesting one. That shot, pictured above, puts the Bionic next to the Samsung Droid Charge, a


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Droid Bionic images appear, possibly with a 4.5-inch display


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