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Quantitative analysis of the heterogeneous population of endocytic vesicles

JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY 2017年第2期15卷 1750008-1750008页

作者： Kozlov, Konstantin Kosheverova, Vera Kamentseva, Rimma Kharchenko, Marianna Sokolkova, Alena Kornilova, Elena Samsonova, Maria Peter Great St Petersburg Polytech Univ Math Biol & Bioinformat Lab 29 Polytech Heskaya St Petersburg 195251 Russia RAS Inst Cytol 4 Tikhoretsky Ave St Petersburg 194164 Russia St Petersburg State Univ 7-9 Univ Skaya Emb St Petersburg 199034 Russia

The quantitative characterization of endocytic vesicles in images acquired with microscope is critically important for deciphering of endocytosis mechanisms. image segmentation is the most important step of quantitative image analysis. In spite of availability of many segmentation methods, the accurate segmentation is challenging when the images are heterogeneous with respect to object shapes and signal intensities what is typical for images of endocytic vesicles. We present a Morphological reconstruction and Contrast mapping segmentation method (MrComas) for the segmentation of the endocytic vesicle population that copes with the heterogeneity in their shape and intensity. The method uses morphological opening and closing by reconstruction in the vicinity of local minima and maxima respectively thus creating the strong contrast between their basins of attraction. As a consequence, the intensity is flattened within the objects and their edges are enhanced. The method accurately recovered quantitative characteristics of synthetic images that preserve characteristic features of the endocytic vesicle population. In benchmarks and quantitative comparisons with two other popular segmentation methods, namely manual thresholding and Squash plugin, MrComas shows the best segmentation results on real biological images of EGFR (Epidermal Growth Factor Receptor) endocytosis. As a proof of feasibility, the method was applied to quantify the dynamical behavior of Early Endosomal Autoantigen 1 (EEA1)-positive endosome subpopulations during EGF-stimulated endocytosis.

关键词： image processing algorithm image segmentation colocalization endocytosis

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Prescreening Seizure-like Events in a Rat Model of Epilepsy B: A 3D online Video processing Method

Prescreening Seizure-like Events in a Rat Model of Epilepsy ...

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International IEEE/EMBS Conference on Neural Engineering

作者： Olaf Christ Karin H. Somerlik-Fuchs Thomas Stieglitz Andreas Schulze-Bonhage Ulrich G. Hofmann Research Group for Neuroelectronic Systems Department of Neurosurgery University Hospital Freiburg University Hospital Freiburg Laboratory for Biomedical Microtechnology Department of Microsystems Engineering Albert-Ludwigs-University

ISBN: (纸本)9781467319676

Temporal lobe epilepsy is the most common cause of drug-resistant seizures. Electrical stimulation seems to be a promising alternative to the classical anteromesial temporal resection. Our work aims at improving and validating therapeutic approaches for treating temporal lobe epilepsy using high-frequency stimulation. The relative phase clustering index (rPCI) is used to describe the epileptogenicity of a brain region and seizure prediction. An online image processing algorithm using a 3D camera is presented for facilitating the tedious and time consuming visual image inspection by traditional long term video footage required to determine optimal electrical stimulation parameters. See our companion paper describing the 2D solution in this journal.

关键词： rat model temporal lobe epilepsy brain region prescreening Epilepsy Videotapes Electric Stimulation Seizures journals image processing algorithm

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Enhancing the NI-9631 Mobile Robot Abilities with Multimodal Communication Skills

Enhancing the NI-9631 Mobile Robot Abilities with Multimodal...

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IEEE International Conference on Intelligent Engineering Systems

作者： Csaba Szasz Department of Electrical Machines and Drives Technical University of Cluj

ISBN: (纸本)9781479908271

As it is well known, multimodality is a very common task in the human-robot communication. Human conversation is also considered usually multimodal, and a great amount of research is done worldwide to engine novel robotic systems embedding more and more intelligence for human gestures or speech recognition abilities enhancement. This paper presents a hardware configuration developed for multimodal communication skills implementation on the NI SbRIO-9631 prototype robot. The standard hardware structure of this mobile device has been gradually extended with voice recognition and real-time image processing units. By using the Lab View graphical software toolkit, these modules integrates through specific software drivers various sensor modality including vision and speech signals analyzing. The robot endowed with the mentioned capabilities becomes a very flexible and powerful development tool for human-robot multimodal communication research and implementation. In addition to this, is also suitable for a large amount of voice signals and image processing algorithms testing, through that the robot displays intelligence and cooperativeness in its behavior.

关键词： Voice Signal Robot Speech recognition Communication Research device drivers Communication Skills hardware architecture Hardware Configuration Cooperative Behavior Intelligence image processing algorithm Mobile robots

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UCHEK: an affordable smartphone based point of care diagnostic system for a low resource medical setup

UCHEK: an affordable smartphone based point of care diagnost...

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Appropriate Healthcare Technologies for Low Resource Settings (AHT 2014)

作者： Shaakir Mohamed Research and Development Engineer Biosense TechnologiesMaharashtra India

ISBN: (纸本)9781634396547

A point of care diagnosis system comprising of a smartphone and a method for reading the different reagent strips, that performs tests such as routine urinalysis, determining albumin to creatinine ratio and blood sugar tests based on reflectance photometry. uChek uses the camera sensor as an accurate image sensor, with the help of various image processing algorithms, to capture and perform various diagnostic tests. This system called uChek also pushes the data to a cloud database, to help monitor trends and track other useful data, making the results more accessible to labs, doctors and for demographic purposes. This system of diagnosis acts an alternative, affordable technology that not only makes the diagnosis a lot cheaper and suited to a low resource medical setup but also increases the usefulness of the data by recording seamlessly to a database and providing analysis, which helps in early detection and monitoring of treatment for various diseases.

关键词： Urinalysis Reflectance photometry image processing Mobile-health technology Point of care diagnosis Urinalysis image processing image processing algorithm Sensors (image) Smartphone urine albumin creatinine ratio Database Otolaryngologists

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Tubular Structure Enhancement for Surgical Instrument Detection in 3D Ultrasound

Tubular Structure Enhancement for Surgical Instrument Detect...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Hongliang Ren Pierre E. Dupont Department of Cardiac Surgery Children's Hospital Boston Harvard Medical School

ISBN: (纸本)9781424441211

Three-dimensional ultrasound has been an effective imaging modality for diagnostics and is now an emerging modality for image-guided minimally-invasive interventions since it enables visualization of both instruments and tissue. Challenges to ultrasound-guided interventions arise, however, due to the low signal-to-noise ratio and the imaging artifacts created by the interventional instruments. Metallic instruments, in particular, are strong scatters and so produce a variety of artifacts. For many interventions, the manual or robotic instrument is comprised of a long curved tubular structure with specialized tooling at its tip. Toward the goal of developing a surgical navigation system, this paper proposes an image processing algorithm for enhancing the tubular structure of imaged instruments while also reducing imaging artifacts. Experiments are presented to evaluate the effectiveness of the approach in the context of robotic instruments whose shape comprises a smooth curve along their length.

关键词： Tubular structures image processing algorithm Surgical Instruments EQUIPMENT Artifacts imaging modalities signal to noise ratios Visualization terminal interface processor Ultrasonic Waves

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Epidural needle length measurement by video processing

Epidural needle length measurement by video processing

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IET Conference on image processing (IPR 2012)

作者： N. Vaughan V. N. Dubey M. Y. K. Wee R. Isaacs Bournemouth University Poole Dorset GB Poole Hospital NHS Foundation Trust Poole Poole GB

ISBN: (纸本)9781622762675

This paper presents a novel image processing algorithm to measure the length and depth of an epidural needle during insertion. A wireless camera is used which transmits video during insertion to a host computer. The computer contains the image processing algorithm to detect the visible needle in the image and measures the length. The measurement is done by HSV background removal, colour comparison and using RGB histograms to locate 10mm markings on the Tuohy needle shaft. The visible length is then subtracted from the known length of the needle to calculate the depth of the needle tip. The camera can be placed in the operating theatre up to one meter away from the needle insertion site. The purpose of measuring needle depth in real time is to precisely place the needle in the epidural space.

关键词： image processing Tuohy Needle Epidural Length Measurement Video processing NEEDLES image processing algorithm epidural needle Videotapes on line data service Cameras Insertion Site Operating rooms Epidural Space red-green-blue colour model

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Compressibility variations of JPEG2000 compressed computed tomography

Compressibility variations of JPEG2000 compressed computed t...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Jean-Francois Pambrun Rita Noumeir Department of Electrical Engineering Ecole de technologie superieure (ETS)

ISBN: (纸本)9781457702150

Compression is increasingly used in medical applications to enable efficient and universally accessible electronic health records. However, lossy compression introduces artifacts that can alter diagnostic accuracy, interfere with image processing algorithms and cause liability issues in cases of diagnostic errors. Compression guidelines were introduced to mitigate these issues and foster the use of modern compression algorithms with diagnostic imaging. However, these guidelines are usually defined as maximum compression ratios for each imaging protocol and do not take compressibility variations due to image content into account. In this paper we have evaluated the compressibility of thousands of computed tomography slices of an anthropomorphic thoracic phantom acquired with different parameters. We have shown that exposure, slice thickness and reconstruction filters have a significant impact on compressibility suggesting that guidelines based solely on compression ratios may be inadequate.

关键词： Compressibility compression ratio JPEG X-Ray Computed Tomography reconstruction filter Compression algorithms image processing algorithm Imaging Phantom diagnosis quality/standard

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Detection and tracking of Near-Earth Objects using a cognitive hierarchical data-association model

Detection and tracking of Near-Earth Objects using a cogniti...

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IEEE National Aerospace and Electronics Conference

作者： Alan C. O'Connor Roman Ilin Igor Ternovskiy Air Force Research Laboratory Sensors Directorate

ISBN: (纸本)9781467327916

Current efforts aimed at detecting and identifying Near-Earth Objects (NEOs) that pose potential risks to Earth use moderate-size telescopes combined with image processing algorithms to detect the motion of these objects. The search strategies of such systems involve multiple revisits at given intervals between observations to the same area of the sky so that objects that appear to move between the observations can be identified against the static star field. The algorithm described in this paper, referred to as Dynamic Logic (DL), has been applied previously to radar signal processing to achieve a track-before-detect capability. This suggests that DL could improve the detection of extremely dim moving objects in image data as well. The concept of hierarchical dynamic logic is used to supervise image pre-processing and interpret and detect moving objects directly from star-field. The proposed method shows a promising ability to distinguish true asteroid tracks from false alarms with almost no operator interaction, making it potentially suitable for the task of automatic detection of NEOs.

关键词： track-before-detect image processing machine learning cognitive models asteroids Cognitive Maps asteroids image processing image data dynamic logic NEAR EARTH ASTEROIDS Artificial Intelligence Machine Learning Radar signal processing image processing algorithm search strategies automatic detection False alarms tracking

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Real Time Localization and 3D Depth Estimation Across Disparate Sensing Systems: Toward Hazard Aware and Tele-Immersive Spaces

Real Time Localization and 3D Depth Estimation Across Dispar...

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International Conference on Systems, Signals and image processing

作者： Peter Bajcsy Miles Johnson Suk-Kyu Lee Rob Kooper National Center for Supercomputing Application (NCSA) University of Illinois at Urbana-Champaign (UIUC) 1205 W. Clark St. Urbana IL 61801 USA

ISBN: (纸本)9788022728560

This paper addresses the problems of real-time localization and 3D depth estimation across disparate sensing systems. The sensing systems include wireless micro-electro-mechanical systems (MEMS) sensor networks, such as MICA sensors by Crossbow Inc., Radio Frequency Identification (RFID) tags and cameras that capture a variety of spectra. Some of the sensing is adaptive in time and space by using a remotely controlled robot for the sensor deployment. The motivation for integrating and analyzing multiple sensing systems and spectral modalities comes from the fact that in many applications a single sensing system or modality does not lead to robust and accurate performance. In this work we design systems for localization using Radio Frequency Identification (RFID) tags and real time 3D depth estimation from stereo vision in order to incorporate power constraints imposed on deployment of battery-operated wireless MICA sensors. The resulting methods are applied to the development of (a) hazard aware spaces (HAS) to alert people in events of fire, and (b) tele-immersive spaces (TEEVE) to enable remote collaborations, training and art performances. The novelty of our work lies in the power efficient deployment of wireless sensors for location aware applications by combining multiple sensors with advanced signal and image processing algorithms.

关键词： Signal processing and Systems Video Streaming Videoconferencing Videoconferencing sensor placement Video streaming image processing algorithm Stereoviews Awareness deployment Sensors Cameras RFID tags

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image processing based forensic investigation of morphed documents

Image Processing based forensic investigation of morphed doc...

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International Conference on Electronics, Communication and Aerospace Technology

作者： Shruti Ranjan Prayati Garhwal Monika Arora Anu Mehra Department of Electronics and Communication Amity University

ISBN: (纸本)9781538609668

This being the age of digitization, the rates of cyber-crimes has been surging prodigiously. With people carrying their IDs around with them, one would think it would be difficult to pose as someone else in a public setting. However, it has been proven incredibly easy to create fake documents with powerful photo editing soft-wares being as pervasive as ever. Documents can be scanned and forged within minutes with the help of these soft-wares that have tools readily available just to do that. While photo manipulation software is handy and ubiquitous, there are also means to deftly investigate these morphed documents. This paper lays a foundation on investigation of digitally manipulated documents. No public databases have been used for analysis. The entire database used in this paper has been created solely for the purpose of studying the forensic investigation of illegal documents. Then, analysis was done on this self-created dataset using image processing algorithms and later, discriminatory results were studied.

关键词： image processing image processing algorithm digitally image Editing FLEXIBLE

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