visualization

Multi-Layer Rendering for Visualizations

Some embodiments provide a non-transitory machine-readable medium that stores a program executable by at least one processing unit of a device. The program receives data associated with a visual presentation that includes several visual elements. The program also identifies a first set of visual elements in the several visual elements having a first type and a second set of visual elements in the several visual elements having a second type. The program further renders the first set of visual elements in a first layer of the visual presentation using a first rendering engine. The program also renders the second set of visual elements in a second layer of the visual presentation using a second rendering engine.




visualization

INTUITIVE MUSIC VISUALIZATION USING EFFICIENT STRUCTURAL SEGMENTATION

Embodiments of the present invention relate to automatically identifying structures of a music stream. A segment structure may be generated that visually indicates repeating segments of a music stream. To generate a segment structure, a feature that corresponds to a music attribute from a waveform corresponding to the music stream is extracted from a waveform, such as an input signal. Utilizing a signal segmentation algorithm, such as a Variable Markov Oracle (VMO) algorithm, a symbolized signal, such as a VMO structure, is generated. From the symbolized signal, a matrix is generated. The matrix may be, for instance, a VMO-SSM. A segment structure is then generated from the matrix. The segment structure illustrates a segmentation of the music stream and the segments that are repetitive.




visualization

Re: Visualization shows droplets from one cough on an airplane




visualization

Real-time visualization of solid-phase ion migration

(University of Science and Technology of China) Researchers from University of science and technology of China has shed new lights on the topic of solid-phase ion migration. Researchers demonstrated a unique in-situ strategy for visualizing the dynamic solid-phase ion migration between nanostructures with nanogap at the atomic scale. The research article entitled "Real-Time Visualization of Solid-Phase Ion Migration Kinetics on Nanowire Monolayer" was published in Journal of the American Chemical Society on April 29th.




visualization

Label-free Visualization of Early Cancer Hepatic Micrometastasis and Intraoperative Image-guided Surgery by Photoacoustic Imaging

Objectives: The detection of cancer micrometastasis for early diagnosis and treatment poses a great challenge for conventional imaging techniques. The aim of study is to evaluate the performance of photoacoustic imaging (PAI) in detecting hepatic micrometastases from melanoma in a very early stage and perform tumor resection by intraoperative photoacoustic image-guidance. Methods: In vivo studies were performed by following protocols approved by the Ethical Committee for Animal Research at Xiamen University. First, a B16 melanoma hepatic metastasis mouse model (n = 10) was established to study the development of micrometastases in vivo. Next, the hepatic metastasis mice models were imaged by scalable PAI instrument, ultrasound, 9.4 T high-resolution magnetic resonance imaging (MRI), positron emission tomography/computed tomography (PET/CT), and bioluminescence imaging. Photoacoustic images acquired with optical wavelengths spanning from 680 to 850 nm were spectrally unmixed by using a linear least-squares method to differentiate various components. Differences in the signal-to-background ratios among different modalities were determined with the two-tailed paired t test. The diagnosis results were assessed with histologic examinations. Excised liver samples from patients diagnosed with hepatic cancer were also examined to identify tumor boundary. In vivo metastatic melanoma removal in surgery was precisely guided by the portable PAI system. Results: PAI achieved as small as ~400 µm hepatic melanoma detection at a depth up to 7 mm in vivo, which could early detect small melanoma compared with ultrasound and MRI in mouse models. The signal ratio of tumor-to-liver acquired with PAI in micrometastases at 8 days (4.2 ± 0.2, n = 6) and 14 days (9.2 ± 0.4, n = 5) were significantly higher than those obtained with PET/CT (1.8 ± 0.1, n = 5 and 4.5 ± 0.2, n = 5, P <0.001 for both). Functional PAI provided dynamic oxygen saturation changes during tumor growth. The limit of detection was measured to be approximately 219 cells per microliter in vitro. We successfully performed intraoperative photoacoustic image-guided surgery in vivo using the rapid portable PAI system. Conclusion: Our findings offer a rapid and effective tool to noninvasively detect micrometastases and guide intraoperative resection as a complementary clinical imaging application.




visualization

Storytelling with data : a data visualization guide for business professionals / Cole Nussbaumer Knaflic.

Information visualization.




visualization

Visualization of Microtubule Growth in Cultured Neurons via the Use of EB3-GFP (End-Binding Protein 3-Green Fluorescent Protein)

Tatiana Stepanova
Apr 1, 2003; 23:2655-2664
Cellular




visualization

African Americans at the Turn of the 20th Century: A Graphic Visualization

Visitors to the 1900 Paris Exposition would have had the opportunity to view an extraordinary display of photographs, charts, publications and other items meant to demonstrate the progress and resilience of African Americans in the United States, only a few decades after the abolition of slavery. The materials were assembled by African American intellectuals Thomas J. […]




visualization

Do the Magic Angle Effects or Susceptibility Effects Affect the Visualization of Nigrosome 1? [LETTERS]




visualization

New Fluorescence Microscopy Technique for Nanostructure Visualization Within Cells

Researchers at Purdue University have developed a new technique to dramatically enhance the resolution achievable when imaging intracellular structures with super-resolution fluorescence microscopy. The technique uses the distortions created by a specimen to pinpoint the location of individual molecules, and thereby infer the location of intracellular structures. The technique could be particularly useful in studying […]




visualization

Go hands-on with interactive AI visualizations

Artificial Intelligence systems can recognize our voices, forecast the weather and help decide who gets a loan. Given the increasing ubiquity of AI, it’s important that everyone is able to understand more about it.

Like any system or technology, AI doesn’t always get it right. And understanding why AI systems break is often not easy for people who aren't experts in the field; research results are shared in dense papers filled with formulas.

Of course, people who haven't studied AI still need to be able to ask critical questions about these systems. To help support these kinds of discussions, we've created AI Explorables, a series of interactive explanations of key AI concepts. They’re specifically geared toward non-experts (even though we think and hope that experts will also find them interesting and thought-provoking). 

The first two Explorables walk you through an assessment determining whether an AI system is fair and unbiased. Measuring Fairness weighs the trade-offs involved in building a machine that diagnoses a disease—and lets you try tuning it to be fairer.

In another Explorable, called Hidden Bias, we examine a system that predicts student's grades. Biased by the data it has learned from, the system predicts lower grades for women. Trying to fix this by hiding gender from the system doesn't always work (and, in some cases, can actually increase the bias in the system). 

In the coming months we plan on sharing more Explorables on other fairness issues (how do feedback loops affect the biases of an AI system?), interpretability (why did the AI system decide to do that?) and privacy (what does it mean in the context of an AI system?).

People and AI Research (PAIR) is committed to making machine learning more participatory, and we believe that Explorables will help expand the conversation around machine learning and make it more inclusive. You can find more updates about Explorables and our other work at the (new) PAIR Medium channel.




visualization

Graph drawing and network visualization [Electronic book] : 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019, Proceedings / Daniel Archambault, Csaba D. Tóth (eds.).

Cham : Springer, 2019.




visualization

Flow visualization: techniques and examples / editors, A.J. Smits, T.T. Lim

Barker Library - TA357.5.F55 F56 2012




visualization

Practical time series analysis : master time series data processing, visualization, and modeling using Python / Dr. Avishek Pal, Dr. PKS Prakash

Pal, Avishek, author




visualization

A combined viscosity-restricted intramolecular motion and mitochondrial targeting leads to selective tumor visualization

Chem. Commun., 2020, Accepted Manuscript
DOI: 10.1039/D0CC02943B, Communication
Le Yu, Jun Feng Zhang, Mingle Li, Dewei Jiang, Ying Zhou, Peter Verwilst, Jong Seung Kim
We report a novel fluorescent molecular conjugate V-M1 enabling an accurate visualization of tumor tissues. The emission wavelength of V-M1 exceeds 650 nm, well within the near-infrared therapeutic window. Tumor...
The content of this RSS Feed (c) The Royal Society of Chemistry




visualization

3D scientific visualization with Blender® / Brian R. Kent

Kent, Brian R., author




visualization

Design FX - Thor The Dark World: Previsualization Effects Exclusive

To create the world of Asgard in Thor: The Dark World, filmmaker Alan Taylor enlisted the help of digital effects company The Third Floor. Using a process called previsualization, The Third Floor created fully rendered low-res CG sets and characters, allowing the director to see, plan out, and experiment with scenes before shooting them.




visualization

Data visualization : a practical introduction / Kieran Healy

Healy, Kieran Joseph, 1973- author




visualization

Visualization of materials using the confocal laser scanning microscopy technique

Chem. Soc. Rev., 2020, 49,2408-2425
DOI: 10.1039/C8CS00061A, Review Article
Xu Teng, Feng Li, Chao Lu
This review summarizes the recent applications of confocal laser scanning microscopy in materials science.
The content of this RSS Feed (c) The Royal Society of Chemistry




visualization

Data visualization for design thinking: applied mapping / Winifred E. Newman

Rotch Library - GA102.3.N49 2017




visualization

Cooperative design, visualization, and engineering: 16th International Conference, CDVE 2019, Mallorca, Spain, October 6-9, 2019: proceedings / Yuhua Luo (ed.)

Online Resource




visualization

Visualization in Engineering [electronic journal].

Springer Nature




visualization

Visualization Conference, IEEE [electronic journal].

IEEE Computer Society




visualization

Visualization Conference, IEEE [electronic journal].

IEEE Computer Society




visualization

Visualization Conference, IEEE [electronic journal].

IEEE Computer Society




visualization

Visualization Conference, IEEE [electronic journal].

IEEE Computer Society




visualization

Visualization Conference, IEEE [electronic journal].

IEEE Computer Society




visualization

Visualization Conference, IEEE [electronic journal].

IEEE Computer Society




visualization

Visualization Conference, IEEE [electronic journal].

IEEE Computer Society




visualization

VIS2002. IEEE Visualization 2002. Proceedings [electronic journal].

IEEE Computer Society




visualization

Programming and Performance Visualization Tools (ProTools), IEEE/ACM International Workshop on [electronic journal].

IEEE / Institute of Electrical and Electronics Engineers Incorporated




visualization

Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium [electronic journal].

IEEE Computer Society




visualization

Proceedings of Visualization '98 [electronic journal].

IEEE Computer Society




visualization

Proceedings IEEE Symposium on Information Visualization '96 [electronic journal].

IEEE Computer Society




visualization

Proceedings IEEE/ACM SIGGRAPH Symposium on Volume Visualization and Graphics 2002 [electronic journal].

IEEE Computer Society




visualization

Proceedings IEEE 2001 Symposium on Parallel and Large-Data Visualization and Graphics [electronic journal].

IEEE Computer Society




visualization

Proceedings First International Symposium on 3D Data Processing Visualization and Transmission [electronic journal].

IEEE Computer Society




visualization

Proceedings 1999 IEEE Parallel Visualization and Graphics Symposium [electronic journal].

IEEE Computer Society




visualization

Proceedings. 2nd International Symposium on 3D Data Processing, Visualization, and Transmission [electronic journal].

IEEE Computer Society




visualization

Parallel and Large-Data Visualization and Graphics, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

Information Visualization, IEEE Symposium on [electronic journal].

IEEE Computer Society




visualization

IEEE Visualization 2004 [electronic journal].

IEEE Computer Society