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Automation of the social interaction test by a video-tracking system: behavioural effects of repeated phencyclidine treatment.

The social interaction test is a valuable behavioural model for testing anxiolytic and neuroleptic drugs. The test quantifies the level of social behaviour between pairs of rats and it is usually based on manual analysis of behaviour. Advances in computer technology have made it possible to track the movements of pairs of rats in an arena, and the present paper describes the automation of the social interaction test by the commercial video-tracking programme, the EthoVision system. The ability of the automated system to correctly measure the social behaviour of rats is demonstrated by determining a dose-response relationship in the social interaction test for phencyclidine, a psychotomimetic drug that reduces social behaviour between pairs of rats. These data are subsequently analysed by the manual and automated data-acquisition methods and the results are compared. The study shows that the automated data-acquisition method best describes the behavioural effects of phencyclidine in the social interaction test by the locomotor activity of the rats, how much time the rats spend in different sections of the testing arena, and the level of social behaviour. Correlation analysis of the results from the manual and automated data-acquisition methods shows that the social behaviour measured by the automated system corresponds correctly to the social behaviour measured by the manual analysis. The present study has shown that the automated data-acquisition method can quantify locomotor activity, how rats use a testing arena and the level of social behaviour between rats in the social interaction test. The system cannot distinguish between social and aggressive behaviours, and therefore the rats should be tested in an unfamiliar arena to reduce territorial behaviour. Taking this limitation into consideration, the social interaction test can be automated by this computer-based video-tracking system and can be used as a routine test for quantifying the effects of drugs on the social behaviour of rats.

Aggression↗

Modular workcells: modern methods for laboratory automation.

Laboratory automation is beginning to become an indispensable survival tool for laboratories facing difficult market competition. However, estimates suggest that only 8% of laboratories will be able to afford total laboratory automation systems. Therefore, automation vendors have developed alternative hardware configurations called 'modular automation', to fit the smaller laboratory. Modular automation consists of consolidated analyzers, integrated analyzers, modular workcells, and pre- and post-analytical automation. These terms will be defined in this paper. Using a modular automation model, the automated core laboratory will become a site where laboratory data is evaluated by trained professionals to provide diagnostic information to practising physicians. Modem software information management and process control tools will complement modular hardware. Proper standardization that will allow vendor-independent modular configurations will assure success of this revolutionary new technology.

Automation↗

Specificity and sensitivity of automated external defibrillator rhythm analysis in infants and children.

STUDY OBJECTIVES: The rhythm detection algorithms of automated external defibrillators have been derived from adult rhythms, and their ability to discriminate between shockable and nonshockable rhythms in children is largely unknown. This study evaluates the performance of 1 automated external defibrillator algorithm in infants and children and evaluates algorithm performance with anterior-posterior versus sternal-apex lead placement. METHODS: We enrolled pediatric patients in a critical care unit, an electrophysiology laboratory, and a cardiac operating room. A monitor-defibrillator recorded ECGs by means of standard defibrillation-monitor pads. Selected 15-second rhythm samples were played into a LIFEPAK 500 automated external defibrillator, and the automated external defibrillator "shock/no shock" decision was documented. To determine sensitivity and specificity, the automated external defibrillator decision was compared with the "shockable" versus "nonshockable" rhythm classification provided by 3 expert clinicians who were blinded to the automated external defibrillator decision. RESULTS: We recorded 1,561 rhythm samples from 203 pediatric patients (median age 11 months; range, day of birth to 7 years). The automated external defibrillator recommended a shock for 72 of 73 rhythm samples classified as coarse ventricular fibrillation by expert review (sensitivity 99%; 95% confidence interval [CI] 93% to 100%); and correctly reached a "no shock advised" decision for 1,465 of 1,472 rhythm samples classified as nonshockable by experts (specificity 99.5%). Specificity was 99.1% (95% CI 97.8% to 99.8%) with the sternal-apex lead and 99.4% (95% CI 98.1% to 99.9%) with the anterior-posterior lead. CONCLUSION: This automated external defibrillator algorithm has high specificity and sensitivity when used in infants and children with either sternal-apex or anterior-posterior lead placement.

Age Factors↗

Designing automation for human use: empirical studies and quantitative models.

An emerging knowledge base of human performance research can provide guidelines for designing automation that can be used effectively by human operators of complex systems. Which functions should be automated and to what extent in a given system? A model for types and levels of automation that provides a framework and an objective basis for making such choices is described. The human performance consequences of particular types and levels of automation constitute primary evaluative criteria for automation design when using the model. Four human performance areas are considered--mental workload, situation awareness, complacency and skill degradation. Secondary evaluative criteria include such factors as automation reliability, the risks of decision/action consequences and the ease of systems integration. In addition to this qualitative approach, quantitative models can inform design. Several computational and formal models of human interaction with automation that have been proposed by various researchers are reviewed. An important future research need is the integration of qualitative and quantitative approaches. Application of these models provides an objective basis for designing automation for effective human use.

Automation↗

Strategies for rare-event detection: an approach for automated fetal cell detection in maternal blood.

This article explores the feasibility of the use of automated microscopy and image analysis to detect the presence of rare fetal nucleated red blood cells (NRBCs) circulating in maternal blood. The rationales for enrichment and for automated image analysis for "rare-event" detection are reviewed. We also describe the application of automated image analysis to 42 maternal blood samples, using a protocol consisting of one-step enrichment followed by immunocytochemical staining for fetal hemoglobin (HbF) and FISH for X- and Y-chromosomal sequences. Automated image analysis consisted of multimode microscopy and subsequent visual evaluation of image memories containing the selected objects. The FISH results were compared with the results of conventional karyotyping of the chorionic villi. By use of manual screening, 43% of the slides were found to be positive (>=1 NRBC), with a mean number of 11 NRBCs (range 1-40). By automated microscopy, 52% were positive, with on average 17 NRBCs (range 1-111). There was a good correlation between both manual and automated screening, but the NRBC yield from automated image analysis was found to be superior to that from manual screening (P=.0443), particularly when the NRBC count was >15. Seven (64%) of 11 XY fetuses were correctly diagnosed by FISH analysis of automatically detected cells, and all discrepancies were restricted to the lower cell-count range. We believe that automated microscopy and image analysis reduce the screening workload, are more sensitive than manual evaluation, and can be used to detect rare HbF-containing NRBCs in maternal blood.

Automation↗

Automated specific capture of hepatitis C virus RNA with probes and paramagnetic particle separation.

We developed and evaluated a prototype automated specimen preparation instrument for the specific capture of hepatitis C virus (HCV) RNA with probes and magnetic bead-fluid separation. HCV RNA was isolated from serum by lysis of virus particles with a chaotropic agent, followed by hybridization of the RNA with biotinylated probes and capture of the hybridized RNA with streptavidin-coated paramagnetic particles. After washing of the hybrid-particle complexes to remove nonspecifically bound materials, the particles were resuspended in a specimen diluent and were then ready for amplification and detection with a fully automated PCR system (COBAS AMPLICOR; Roche Diagnostic Systems). The analytical sensitivity in the dilution series was 33 copies per ml or greater. Comparison of the test results with those obtained by a manual method based on organic extraction and precipitation of RNA (SepaGene RV-R; Sanko Junyaku Co., Ltd.) showed 93% (49 of 53 samples) sensitivity and 100% (12 of 12 samples) specificity. There was 94% overall agreement between results. When RNA was extracted by the manual method from serum containing 10(3) or 10(5) copies of HCV per ml in the presence of heparin, there was an inhibitory effect on detection of both HCV RNA and the internal control. In contrast, when RNA was extracted from the serum by the automated method, there was no inhibitory effect. This inhibitory effect of heparin on the manual method was also observed for a series of serum specimens from a hemodialysis patient, but the inhibitory effect was eliminated by the automated specimen preparation method. In summary, a fully automated RNA extraction system for PCR detection of HCV RNA by use of specific capture with probes and magnetic bead-fluid separation was shown to have performance similar to that of the conventional manual method. In addition, it successfully eliminated the inhibitory effect of the heparin in the serum and permitted the detection of HCV RNA in serum samples from a hemodialysis patient. The prototype automated RNA extraction system is suitable as a totally automated system, starting with RNA extraction to detection of HCV, if it was combined with the fully automated COBAS AMPLICOR PCR system.

Automation↗

Automation bias: decision making and performance in high-tech cockpits.

Automated aids and decision support tools are rapidly becoming indispensable tools in high-technology cockpits and are assuming increasing control of"cognitive" flight tasks, such as calculating fuel-efficient routes, navigating, or detecting and diagnosing system malfunctions and abnormalities. This study was designed to investigate automation bias, a recently documented factor in the use of automated aids and decision support systems. The term refers to omission and commission errors resulting from the use of automated cues as a heuristic replacement for vigilant information seeking and processing. Glass-cockpit pilots flew flight scenarios involving automation events or opportunities for automation-related omission and commission errors. Although experimentally manipulated accountability demands did not significantly impact performance, post hoc analyses revealed that those pilots who reported an internalized perception of "accountability" for their performance and strategies of interaction with the automation were significantly more likely to double-check automated functioning against other cues and less likely to commit errors than those who did not share this perception. Pilots were also lilkely to erroneously "remember" the presence of expected cues when describing their decision-making processes.

Accidents, Aviation↗

Automated, patient-interactive, spinal cord stimulator adjustment: a randomized controlled trial.

OBJECTIVE: Programmable, multicontact, implanted stimulation devices represent an important advance in spinal cord stimulation for the management of pain. They facilitate the technical goal of covering areas of pain by stimulation-evoked paresthesiae. Adjustment after implantation requires major investments of time and effort, however, if the capabilities of these devices are to be used to full advantage. The objective of maximizing coverage should be met while using practitioners' time efficiently. METHODS: We have developed a patient-interactive, computerized system designed for greater ease and safety of operation, compared with the standard external devices used to control and adjust implanted pulse generators. The system automatically and rapidly presents to the patient the contact combinations and pulse parameters specified by the practitioner. The patient adjusts the amplitude of stimulation and then records drawings of stimulation paresthesiae (for comparison with pain drawings), followed by visual analog scale ratings for each setting. Test results are analyzed and sorted to determine the optimal settings. We compared the automated, patient-interactive system with traditional, practitioner-operated, manual programming methods in a randomized controlled trial at two study centers, with 44 patients. RESULTS: The automated, patient-interactive system yielded significantly (P < 0.0001) better technical results than did traditional manual methods, in achieving coverage of pain by stimulation paresthesiae (mean 100-point visual analog scale ratings of 70 and 46, respectively). The visual analog scale ratings were higher for automated testing for 38 patients, higher for manual testing for 0 patients, and equal (tied) for 6 patients. Multivariate analysis demonstrated that the advantage of automated testing occurred independently of practitioner experience; the advantage was significantly greater, however, for experienced patients. The rate of testing (number of settings tested per unit time) was significantly (P < 0.0001) greater for the automated system, in comparison with the rate with a human operator using traditional, manual, programming methods (mean of 0.73 settings/min versus 0.49 settings/min). The automated system also identified settings with improved estimated battery life (and corresponding anticipated cost savings). No complications were observed with automated testing; one complication (transient discomfort attributable to excessive stimulation) occurred with manual testing. CONCLUSION: Automated, patient-interactive adjustment of implanted spinal cord stimulators is significantly more effective and more efficient than traditional manual methods of adjustment. It offers not only improved clinical efficacy but also potential cost savings in extending implanted battery life. It has the additional potential advantages of standardization, quality control, and record keeping, to facilitate clinical research and patient care. It should enhance the clinical application of spinal cord stimulation for the treatment of chronic intractable pain.

Adult↗

Designing effective human-automation-plant interfaces: a control-theoretic perspective.

In this article, we propose the application of a control-theoretic framework to human-automation interaction. The framework consists of a set of conceptual distinctions that should be respected in automation research and design. We demonstrate how existing automation interface designs in some nuclear plants fail to recognize these distinctions. We further show the value of the approach by applying it to modes of automation. The design guidelines that have been proposed in the automation literature are evaluated from the perspective of the framework. This comparison shows that the framework reveals insights that are frequently overlooked in this literature. A new set of design guidelines is introduced that builds upon the contributions of previous research and draws complementary insights from the control-theoretic framework. The result is a coherent and systematic approach to the design of human-automation-plant interfaces that will yield more concrete design criteria and a broader set of design tools. Applications of this research include improving the effectiveness of human-automation interaction design and the relevance of human-automation interaction research.

Automation↗

Detection of Salmonella from chicken rinses and chicken hot dogs with the automated BAX PCR system.

The BAX system with automated PCR detection was compared with standard cultural procedures for the detection of naturally occurring and spiked Salmonella in 183 chicken carcass rinses and 90 chicken hot dogs. The automated assay procedure consists of overnight growth (16 to 18 h) of the sample in buffered peptone broth at 35 degrees C, transfer of the sample to lysis tubes, incubation and lysis of the cells, transfer of the sample to PCR tubes, and placement of tubes into the cycler-detector, which runs automatically. The automated PCR detection assay takes about 4 h after 16 to 24 h of overnight preenrichment. The culture procedure consists of preerichment, enrichment, plating, and serological confirmation and takes about 72 h. Three trials involving 10 to 31 samples were carried out for each product. Some samples were spiked with Salmonella Typhimurium, Salmonella Heidelberg, Salmonella Montevideo, and Salmonella Enteritidis at 1 to 250 cells per ml of rinse or 1 to 250 cells per g of meat. For unspiked chicken rinses, Salmonella was detected in 2 of 61 samples with the automated system and in 1 of 61 samples with the culture method. Salmonella was recovered from 111 of 122 spiked samples with the automated PCR system and from 113 of 122 spiked samples with the culture method. For chicken hot dogs, Salmonella was detected in all 60 of the spiked samples with both the automated PCR and the culture procedures. For the 30 unspiked samples, Salmonella was recovered from 19 samples with the automated PCR system and from 10 samples with the culture method. The automated PCR system provided reliable Salmonella screening of chicken product samples within 24 h.

Animals↗

Inventory management and reagent supply for automated chemistry.

Developments in automated chemistry have kept pace with developments in HTS such that hundreds of thousands of new compounds can be rapidly synthesized in the belief that the greater the number and diversity of compounds that can be screened, the more successful HTS will be. The increasing use of automation for Multiple Parallel Synthesis (MPS) and the move to automated combinatorial library production is placing an overwhelming burden on the management of reagents. Although automation has improved the efficiency of the processes involved in compound synthesis, the bottleneck has shifted to ordering, collating and preparing reagents for automated chemistry resulting in loss of time, materials and momentum. Major efficiencies have already been made in the area of compound management for high throughput screening. Most of these efficiencies have been achieved with sophisticated library management systems using advanced engineering and data handling for the storage, tracking and retrieval of millions of compounds. The Automation Partnership has already provided many of the top pharmaceutical companies with modular automated storage, preparation and retrieval systems to manage compound libraries for high throughput screening. This article describes how these systems may be implemented to solve the specific problems of inventory management and reagent supply for automated chemistry.

Automation↗

Evaluation of a community-based automated blood pressure measuring device.

BACKGROUND: Automated devices are widely available in the community for people to measure their blood pressure. We assessed the accuracy and reproducibility of a brand of community-based automated device against the standard mercury sphygmomanometer. METHODS: Same-arm pairs of blood pressure readings were obtained with the Vita-Stat 90550 automated device, a sphygmomanometer and the Omron HEM-705CP automated device in random order on volunteers in 3 community pharmacies using a modified protocol for evaluating blood pressure devices. Comparison of readings between the Omron device and the sphygmomanometer served as a positive control of how well a laboratory-validated automated device could perform in the community. Both the Association for the Advancement of Medical Instrumentation (AAMI) and British Hypertension Society (BHS) criteria were used to assess the accuracy and reproducibility of readings. RESULTS: The mean blood pressure reading and standard error (SE) of the mean for the 108 volunteers (66 women and 42 men) was 133/77 (SE 2/1) mm Hg with the Vita-Stat device, 131/77 (SE 2/1) mm Hg with the Omron device and 129/76 (SE 2/1) mm Hg with the sphygmomanometer. The mean difference in readings was 4.4/1.0 (standard deviation [SD] 9.4/6.2) mm Hg between the Vita-Stat device and the sphygmomanometer and 1.6/0.6 (SD 9.3/6.4) mm Hg between the Omron device and the sphygmomanometer. Neither automated device met the AAMI accuracy criteria for the systolic readings. The BHS grades were C/A (systolic unacceptable/diastolic acceptable) for each automated device. According to the BHS analytical criterion, all devices achieved acceptable reproducibility grades. INTERPRETATION: Neither automated device met the AAMI or BHS criteria for accuracy while in use in the community, and neither performed as well in the community as in the laboratory.

Adult↗

SPECT imaging in the diagnosis of pulmonary embolism: automated detection of match and mismatch defects by means of image-processing techniques.

UNLABELLED: SPECT of ventilation/perfusion (V/Q) lung scans not only improves the diagnostic accuracy of the method but also facilitates the application of advanced image-processing techniques. On the basis of such techniques, our study aimed at developing a procedure that automatically analyzes V/Q lung scans with regard to match and mismatch defects. METHODS: Fifty-three patients with suspected pulmonary embolism had lung scans using the SPECT technique as well as 16-slice multidetector-row spiral CT within an interval of 48 h. After iterative image reconstruction and computerized linear registration of the V/Q scans, the ventilation was normalized to the perfusion. For the automated detection of mismatch defects, the perfusion was subtracted from the ventilation, whereas for the detection of match defects, the perfusion was subtracted from the inverted ventilation. Two experienced referees assessed all images. The final diagnosis was made at a consensus meeting while taking into account all of the imaging modalities, laboratory tests, clinical data, and evaluation of a follow-up period. RESULTS: The sensitivity, specificity, and accuracy of the conventional visual assessment were 0.91, 0.97, and 0.94, respectively, compared with 0.95, 0.84, and 0.89, respectively, for the automated algorithm. Artifacts imitating mismatch defects in the pulmonary recesses accounted for the relatively low specificity of the automated analysis. Artifacts of that kind were found in 15 patients and led to a false-positive diagnosis in 5 patients. However, by combining the visual and the automated approach, all artifacts could be easily identified leading to a sensitivity, specificity, and accuracy of 0.95, 1.0, and 0.98, respectively. Additionally, in all 12 patients of the cohort with highly heterogeneous ventilation and perfusion, the automated analysis made correct diagnoses. CONCLUSION: Because of the 3-dimensional properties of the SPECT data, the analysis of lung scans can be automated and objectified. The algorithm produces images that are easy to read and well suited for demonstration. Because of artifacts in the pulmonary recesses introduced by the automated approach, its diagnostic accuracy does not reach the level of the conventional analysis yet. Could these artifacts be overcome, the efficiency of the automated algorithm would be at least equivalent to that of conventional image interpretation. At present, best results can be achieved by combining both approaches.

Adult↗

Medication cart-filling time, accuracy, and cost with an automated dispensing system.

Medication cart filling with an automated dispensing system was compared with manual cart filling with respect to personnel time, costs, and accuracy. At a 650-bed tertiary-care medical center, technician cart filling and pharmacist cart checking were timed for the existing manual system and for the Baxter ATC-212 automated dispensing system. Subsequently, carts filled with each system were checked for accuracy of dispensing. On the basis of drugs used in the automated system over three months, drug acquisition and dispensing costs were calculated for automated and manual cart filling; the costs of personnel time were also compared. Daily cart filling time for technicians was significantly less with the automated system. The savings of pharmacist time was not significant; pharmacists had to cut the strip-packaged drugs into individual doses as they checked patients' medications. For both systems, errors were found in fewer than 1% of the doses (0.84% for the manual system and 0.65% for the automated system). Drug costs were higher with the automated system; acquisition prices for the bulk drugs purchased for use in the dispensing machine were higher than the prices of the same products in unit dose packaging. Personnel time saved amounted to less than 0.5 full-time equivalent. With the automated system, overall time savings was not great enough to substantially affect pharmacy operations, and drug costs were higher.

Automation↗

[Molecular diagnostics by automated systems].

Advent of molecular biology and biotechnology have realized and facilitated analyses for DNA or RNA sequences. New technological advances have led to the automation of major part of the assay process. Automated systems have been developed for amplification and detection of nucleic acid sequence for infectious agents, using polymerase chain reaction, ligase chain reaction, strand displacement amplification, transcription-associated amplification, and nucleic acid sequence-based amplification. Development of such automated systems are based on accumulation and integration of new molecular biotechnology. There has appeared a fully automated PCR system (COBAS AMPLICOR), which amplifies target nucleic acid sequence, captures the biotinylated and amplified products on oligonucleotide-coated paramagnetic microparticles, and detects the products with an avidin-horseradish peroxidase (HRP) conjugate. Automated systems provide improvement of not only labor efficiency but also assay accuracy. Contamination with the amplified products and difficulty in interpreting test results have been overcome with introduction of new technologies such as uracil N-glycosylase and positive internal control. Recently, the extraction of a specific sequence for hepatitis C virus (HCV) RNA has been automated, and the RNA can be specifically extracted from serum by hybridization with probe-coated paramagnetic microparticles, and then subjected to in vitro amplification. Automated systems for nucleic acid extraction from a variety of clinical specimens are now desired. To be practical, an automated system for each molecular diagnostic method must assure assay rapidity, quantification, quality control and cost effectiveness. It is also important to consider how to properly use or combine the molecular diagnostic methods for an efficient approach to the diagnosis of diseases.

Automation↗

Automated detection of macular drusen using geometric background leveling and threshold selection.

BACKGROUND: Age-related macular degeneration (ARMD) is the most prevalent cause of visual loss in patients older than 60 years in the United States. Observation of drusen is the hallmark finding in the clinical evaluation of ARMD. OBJECTIVES: To segment and quantify drusen found in patients with ARMD using image analysis and to compare the efficacy of image analysis segmentation with that of stereoscopic manual grading of drusen. DESIGN: Retrospective study. SETTING: University referral center.Patients Photographs were randomly selected from an available database of patients with known ARMD in the ongoing Columbia University Macular Genetics Study. All patients were white and older than 60 years. INTERVENTIONS: Twenty images from 17 patients were selected as representative of common manifestations of drusen. Image preprocessing included automated color balancing and, where necessary, manual segmentation of confounding lesions such as geographic atrophy (3 images). The operator then chose among 3 automated processing options suggested by predominant drusen type. Automated processing consisted of elimination of background variability by a mathematical model and subsequent histogram-based threshold selection. A retinal specialist using a graphic tablet while viewing stereo pairs constructed digital drusen drawings for each image. MAIN OUTCOME MEASURES: The sensitivity and specificity of drusen segmentation using the automated method with respect to manual stereoscopic drusen drawings were calculated on a rigorous pixel-by-pixel basis. RESULTS: The median sensitivity and specificity of automated segmentation were 70% and 81%, respectively. After preprocessing and option choice, reproducibility of automated drusen segmentation was necessarily 100%. CONCLUSIONS: Automated drusen segmentation can be reliably performed on digital fundus photographs and result in successful quantification of drusen in a more precise manner than is traditionally possible with manual stereoscopic grading of drusen. With only minor preprocessing requirements, this automated detection technique may dramatically improve our ability to monitor drusen in ARMD.

Diagnostic Techniques, Ophthalmological↗

Short-wavelength automated perimetry in neuro-ophthalmologic disorders.

OBJECTIVE: To evaluate the efficacy of short-wavelength automated perimetry (SWAP) in the assessment of patients with neuro-ophthalmologic disorders, especially optic neuropathies. METHODS: A modified Humphrey field analyzer was used to perform standard automated perimetry and SWAP, a technique that isolates the activity of short-wavelength-sensitive ("blue") mechanisms. Forty patients (80 eyes) were evaluated by SWAP and standard automated perimetry. Thirteen patients (26 eyes) had recovered from optic neuritis and/or multiple sclerosis, 15 (30 eyes) were in various stages of treatment for pseudotumor cerebri, and 12 (24 eyes) had other miscellaneous neuro-ophthalmologic conditions. Six additional patients (12 eyes) with neuro-ophthalmologic conditions were tested twice on different days during a 2-week period, with the order of SWAP and standard perimetric testing being reversed on the second day. RESULTS: Of the 80 eyes tested, 38 (48%) had SWAP visual fields that were worse than standard automated perimetry results; 29 (36%) showed no difference between standard and SWAP visual fields; and 13 (16%) had standard automated perimetry results that were worse than SWAP visual fields. Of the 26 eyes in patients with optic neuritis and/or multiple sclerosis, 15 (58%) had SWAP results that were worse than standard visual fields. Ten (33%) of the 30 eyes with pseudotumor cerebri had SWAP results worse than standard automated perimetry results, and 13 (54%) of 24 eyes with miscellaneous neuro-ophthalmologic conditions had SWAP results worse than standard automated perimetry results. For the 12 eyes undergoing repeated testing, SWAP visual fields were worse when they were performed last, perhaps indicating that some fatigue effect was present. This was observed for standard visual fields as well, but to a smaller extent. CONCLUSIONS: Preliminary findings suggest that SWAP may be useful in detecting certain neuro-ophthalmologic deficits more readily than standard automated visual field testing, especially for optic neuritis and multiple sclerosis. Further evaluations will be necessary to define the effects of fatigue for SWAP visual fields in neuro-ophthalmologic disorders.

Adult↗

Automated measurement of myofiber disarray in transgenic mice with ventricular expression of ras.

Quantitative assessment of myofiber disarray associated with diseases such as familial hypertrophic cardiomyopathy (FHC) can be performed by estimating local angular deviation of fiber orientation in histologic sections. The large number of measurements required to estimate angular deviation prohibits manual measurement. We describe methods for automated measurement of local orientation and angular deviation in tissue sections from transgenic mice with ventricular expression of ras, proposed as a model of FHC. Images of histologic tissue sections from normal and transgenic mice were analyzed using image processing techniques to estimate local orientation of myofibers. Results from the automated methods were compared with manual measurements. Automated methods estimated differing mean orientation in 7-20% of normal sections and 17-29% of transgenic tissue sections with differing dispersions in 23-30% of normal sections and 25% of transgenic tissue sections. Automated methods estimate 24.47+/-13.03% of total ventricular mass affected by disarray that is comparable to a previous estimate of 21.7% in the same mouse model. Automated methods are a rapid and accurate alternative to manual measurement for estimation of mean orientation and angular deviation in myocardial tissue sections. Differences between manual and automated methods may be attributed to the substantially larger number of measurements made by automated methods. Automated methods are particularly appropriate for use in determining local variation in orientation such as focal myofiber disarray associated with FHC. The generality of these methods suggests they may have use in other biological fields such as quantifying cellular alignment.

Animals↗