WorldWideScience

Sample records for autoanalysis

  1. Productivity enhancement and reliability through AutoAnalysis

    Science.gov (United States)

    Garetto, Anthony; Rademacher, Thomas; Schulz, Kristian

    2015-09-01

    The decreasing size and increasing complexity of photomask features, driven by the push to ever smaller technology nodes, places more and more challenges on the mask house, particularly in terms of yield management and cost reduction. Particularly challenging for mask shops is the inspection, repair and review cycle which requires more time and skill from operators due to the higher number of masks required per technology node and larger nuisance defect counts. While the measurement throughput of the AIMS™ platform has been improved in order to keep pace with these trends, the analysis of aerial images has seen little advancement and remains largely a manual process. This manual analysis of aerial images is time consuming, dependent on the skill level of the operator and significantly contributes to the overall mask manufacturing process flow. AutoAnalysis, the first application available for the FAVOR® platform, offers a solution to these problems by providing fully automated analysis of AIMS™ aerial images. Direct communication with the AIMS™ system allows automated data transfer and analysis parallel to the measurements. User defined report templates allow the relevant data to be output in a manner that can be tailored to various internal needs and support the requests of your customers. Productivity is significantly improved due to the fast analysis, operator time is saved and made available for other tasks and reliability is no longer a concern as the most defective region is always and consistently captured. In this paper the concept and approach of AutoAnalysis will be presented as well as an update to the status of the project. The benefits arising from the use of AutoAnalysis will be discussed in more detail and a study will be performed in order to demonstrate.

  2. [Auto-analysis of immunohistochemical findings for breast cancer using specified software and virtual microscopy].

    Science.gov (United States)

    Tanaka, Miho; Kuraoka, Kazuya; Sakane, Junichi; Kodama, Yoko; Nishimura, Toshinao; Tanaka, Masazumi; Tatsushima, Junji; Saitou, Akihisa; Taniyama, Kiyomi

    2012-03-01

    Currently, the therapeutic strategy for a breast cancer patient is designed according to their histopathological, immunohistochemical and molecular findings. These findings are obtained through the collected efforts of many individual pathologists or medical technologists (MTs) and are, thus, limited by intra-observer error and potentially subjective decision making. Twenty five breast cancer specimens collected between November 2009 and February 2010 were examined for immunohistochemical expressions of estrogen receptor (ER), progesterone receptor (PgR), HER2, Ki-67, Topoisomerase II alpha (Topo IIalpha). Fifty one cancer specimens collected November 2009 and June 2010 were examined for human epidermal growth factor 2 (HER2). Immunohistochemical staining was performed using auto-stainers (Ventana) and the results were stored digitally after examination by virtual microscopy (Hamamatsu Photonics). Data analysis was performed with the Genie/Aperio software package on a desk-top computer. For all the antibodies used expect for HER2, concordant results were obtained in 100% of 24 ER positive cases. Ki-67 index (r=0.96) and Topo IIalpha index (r=0.95) also showed a significant correlation (p<0.001). For HER2, all four specimens with Hercep-score 2 by ocular observation but auto-analysis score 1 revealed no HER2 gene amplification. Well-organized auto-analysis is more likely to result in an objective observation and to provide a means by which to standardize the methods for immunohistochemical detection of breast cancer. PMID:22568082

  3. Streamlining EPID-based IMRT quality assurance: auto-analysis and auto-report generation

    Science.gov (United States)

    Xing, Aitang; Arumugam, Sankar; Deshpande, Shrikant; Armia; George; Holloway, Lois; Goozee, Gary; Gray, Alison; Vial, Philip

    2014-03-01

    Using an EPID for patient specific IMRT QA is an efficient way to verify patient plans prior to the treatment. Our centres' current EPID dosimetry method is based on a water equivalent depth approach, where EPID images of each IMRT field are converted to dose images and compared to Treatment planning system calculated dose images using a commercial software tool. Two physicists across two sites perform the analysis for an average of 12 new IMRT patients per week. To speed up this process, an in-house program called AutoEPIDIMRTQA was developed. The program automatically performs the following tasks sequentially: reading and converting raw EPID images acquired on either a Siemens Oncor or Elekta Synergy linear accelerator, registering them with planar dose images calculated by Pinnacle (Philips) or CMS XiO (Elekta) treatment planning systems, analyzing the profiles for registered images and calculating the Gamma map. Finally an IMRT QA report is automatically generated. AutoEPIDIMRTQA was validated against commercial software. The analysis time for a typical 9-beam IMRT head-neck patient decreases from 30 minutes to 4 minutes. The total QA time was reduced by 40% using AutoEPIDIMRTQA. Thus we have demonstrated a significant reduction in the time burden for physics staff performing IMRT QA.

  4. Streamlining EPID-based IMRT quality assurance: auto-analysis and auto-report generation

    International Nuclear Information System (INIS)

    Using an EPID for patient specific IMRT QA is an efficient way to verify patient plans prior to the treatment. Our centres' current EPID dosimetry method is based on a water equivalent depth approach, where EPID images of each IMRT field are converted to dose images and compared to Treatment planning system calculated dose images using a commercial software tool. Two physicists across two sites perform the analysis for an average of 12 new IMRT patients per week. To speed up this process, an in-house program called AutoEPIDIMRTQA was developed. The program automatically performs the following tasks sequentially: reading and converting raw EPID images acquired on either a Siemens Oncor or Elekta Synergy linear accelerator, registering them with planar dose images calculated by Pinnacle (Philips) or CMS XiO (Elekta) treatment planning systems, analyzing the profiles for registered images and calculating the Gamma map. Finally an IMRT QA report is automatically generated. AutoEPIDIMRTQA was validated against commercial software. The analysis time for a typical 9-beam IMRT head-neck patient decreases from 30 minutes to 4 minutes. The total QA time was reduced by 40% using AutoEPIDIMRTQA. Thus we have demonstrated a significant reduction in the time burden for physics staff performing IMRT QA.

  5. Integration of auto analysis program of gamma spectrum and software and determination of element content in sample by k-zero method

    International Nuclear Information System (INIS)

    Integrating the gamma spectrum auto-analysis program with elemental analysis software by k-zero method is the objective for many researchers. This work is the first stepin building an auto analysis program of gamma spectrum, which includes modules of reading spectrum, displaying spectrum, calibrating energy of peak, smoothing spectrum, calculating peak area and determining content of elements in sample. Then, the results from the measurements of standard samples by a low level spectrometer using HPGe detector are compared to those of other gamma spectrum auto-analysis programs. (author)

  6. A Robust Heart Sounds Segmentation Module Based on S-Transform

    OpenAIRE

    Moukadem, Ali; Dieterlen, Alain; Hueber, Nicolas; Brandt, Christian

    2013-01-01

    This paper presents a new module for heart sounds segmentation based on S-Transform. The heart sounds segmentation process segments the PhonoCardioGram (PCG) signal into four parts: S1 (first heart sound), systole, S2 (second heart sound) and diastole. It can be considered one of the most important phases in the auto-analysis of PCG signals. The proposed segmentation module can be divided into three main blocks: localization of heart sounds, boundaries detection of the localized heart sounds ...

  7. Grab a coffee: your aerial images are already analyzed

    Science.gov (United States)

    Garetto, Anthony; Rademacher, Thomas; Schulz, Kristian

    2015-07-01

    For over 2 decades the AIMTM platform has been utilized in mask shops as the standard for actinic review of photomask sites in order to perform defect disposition and repair review. Throughout this time the measurement throughput of the systems has been improved in order to keep pace with the requirements demanded by a manufacturing environment, however the analysis of the sites captured has seen little improvement and remained a manual process. This manual analysis of aerial images is time consuming, subject to error and unreliability and contributes to holding up turn-around time (TAT) and slowing process flow in a manufacturing environment. AutoAnalysis, the first application available for the FAVOR® platform, offers a solution to these problems by providing fully automated data transfer and analysis of AIMTM aerial images. The data is automatically output in a customizable format that can be tailored to your internal needs and the requests of your customers. Savings in terms of operator time arise from the automated analysis which no longer needs to be performed. Reliability is improved as human error is eliminated making sure the most defective region is always and consistently captured. Finally the TAT is shortened and process flow for the back end of the line improved as the analysis is fast and runs in parallel to the measurements. In this paper the concept and approach of AutoAnalysis will be presented as well as an update to the status of the project. A look at the benefits arising from the automation and the customizable approach of the solution will be shown.

  8. 心理咨询中的共感技术%Empathy Technique in Psychological Consultation

    Institute of Scientific and Technical Information of China (English)

    张碧云

    2012-01-01

      共感作为一种重要的咨询技术,对咨访关系的质量、收集信息和来访者深入的自我探索等发挥着重要影响。咨询师应该有意识地提高自身的共感能力,在咨询中积极地倾听、转换心理位置、表达对来访者内心体验的理解、留意来访者对共感的反应,并有意识地进行共感训练,在此基础上形成自身的独特风格。%  As an important consultation technology, empathy plays significant role in aspects of quality of counselling relationships, collecting information and pushing client into autoanalysis. So counselors should improve empathic ability consciously. Some advice in an empathic interaction are as follows:listening seriously, accurately understanding client’s thoughts and feelings, expressing understanding to client, regarding client’s response to empathy, and increasing empathic effect by training to shape a special style of empathy.

  9. PIXE spectrum analysis taking into account bremsstrahlung spectra

    International Nuclear Information System (INIS)

    Continuous background appearing over the wide region of X-ray energy in the PIXE spectrum is very troublesome presence in the peak fitting. In the usual manner, the spectrum of continuous background is predicted as a function of polynomial and is subtracted from the X-ray spectrum. However, the parameters of the polynomial are determined with difficulty in the case that the continuous background exists under many peaks of characteristic X-rays. We calculated the production cross sections of continuous X-rays for several elements on the basis of the theories of quasi-free electron bremsstrahlung (QFEB), secondary electron bremsstrahlung (SEB) and atomic bremsstrahlung (AB), and obtained the continuous X-ray spectrum as a function of atomic number and X-ray energy. X-ray spectra of a standard sample and of a bovine liver sample were analyzed by a pattern analysis method assuming the reference spectra consisting of characteristic X-rays and continuous X-rays for each element. The results of analysis are quite satisfactory. By the present method, the PIXE spectra can be analyzed under little influence of the background subtraction, and it enables us a full auto-analysis of PIXE spectrum

  10. LEADERS: Lightweight Epidemiology Advanced Detection and Emergency Response System

    Science.gov (United States)

    Ritter, Todd A.

    2002-06-01

    Technological advancements in molecular biology now offer a wide-range of applications for bio-warfare defense, medical surveillance, agricultural surveillance and pure research. Idaho Technology has designed and produced the world's fastest DNA-based identifiers. The R.A.P.I.D. TM (Ruggedized Advanced Pathogen Identification Device) provides several options for using sensitive and specific molecular biology-based technology One of the key features of the RAPID is a software package called Detector*. Detector* allows Minimally Trained Care Providers (MTCP) to operate the instrument by automating the steps of running PCR and automatically analyzing the sample data. Pathogen identification is carried out automatically using positive and negative controls to protect against false positive and false negative results. As part of the LEADER system, the Remote RAPID Viewer (RRV) component allows for real-time remote monitoring of PCR reactions run on the RAPID, thus giving the Subject Matter Expert (SME) the ability to request specific tests when triggered by the auto-analysis system. In addition the RRV component facilitates in result verification of tests run by MTCP, assists in tracking outbreaks, and helps coordinate large scale real-time crisis management. The system will allow access to epidemiological data from thin client (i.e. web browser), thus allowing the SME to connect from anywhere with an internet connection. In addition the LEADER system will automatically contact and alert SME when threshold criteria are met, helping reduce the time to first response.

  11. Sequential injection analysis for automation of the Winkler methodology, with real-time SIMPLEX optimization and shipboard application.

    Science.gov (United States)

    Horstkotte, Burkhard; Tovar Sánchez, Antonio; Duarte, Carlos M; Cerdà, Víctor

    2010-01-25

    A multipurpose analyzer system based on sequential injection analysis (SIA) for the determination of dissolved oxygen (DO) in seawater is presented. Three operation modes were established and successfully applied onboard during a research cruise in the Southern ocean: 1st, in-line execution of the entire Winkler method including precipitation of manganese (II) hydroxide, fixation of DO, precipitate dissolution by confluent acidification, and spectrophotometric quantification of the generated iodine/tri-iodide (I(2)/I(3)(-)), 2nd, spectrophotometric quantification of I(2)/I(3)(-) in samples prepared according the classical Winkler protocol, and 3rd, accurate batch-wise titration of I(2)/I(3)(-) with thiosulfate using one syringe pump of the analyzer as automatic burette. In the first mode, the zone stacking principle was applied to achieve high dispersion of the reagent solutions in the sample zone. Spectrophotometric detection was done at the isobestic wavelength 466 nm of I(2)/I(3)(-). Highly reduced consumption of reagents and sample compared to the classical Winkler protocol, linear response up to 16 mg L(-1) DO, and an injection frequency of 30 per hour were achieved. It is noteworthy that for the offline protocol, sample metering and quantification with a potentiometric titrator lasts in general over 5 min without counting sample fixation, incubation, and glassware cleaning. The modified SIMPLEX methodology was used for the simultaneous optimization of four volumetric and two chemical variables. Vertex calculation and consequent application including in-line preparation of one reagent was carried out in real-time using the software AutoAnalysis. The analytical system featured high signal stability, robustness, and a repeatability of 3% RSD (1st mode) and 0.8% (2nd mode) during shipboard application. PMID:20103088