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Dive into the research topics where Arthur L. Hattel is active.

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Featured researches published by Arthur L. Hattel.


Foodborne Pathogens and Disease | 2010

Real-time multiplex polymerase chain reaction assay for rapid detection of Clostridium difficile toxin-encoding strains.

Beth A. Houser; Arthur L. Hattel; Bhushan M. Jayarao

Clostridium difficile is considered an important emerging pathogen capable of causing disease in humans and animal species. In our study, we developed and evaluated a multiplex real-time polymerase chain reaction (PCR) assay for the detection of C. difficile genes encoding toxin A (tcdA), toxin B (tcdB), and binary toxin (cdtA and cdtB). The standardized real-time PCR assay for toxin genes of C. difficile was used to screen for toxigenic C. difficile in fecal samples from 71 preweaned calves, 53 retail ground meat samples, and 27 pasteurized milk samples. All samples were also examined for C. difficile using traditional culture techniques to validate the PCR assay. A total of 24 fecal samples (33.80%) were positive for toxigenic C. difficile using either multiplex real-time PCR or culture. Toxin-encoding C. difficile was detected in 23 enriched fecal samples using the multiplex real-time PCR assay and only 15 samples using culture techniques. C. difficile was not detected in ground meat or pasteurized milk by traditional culture or real-time PCR assay. Eleven fecal samples were positive for all 4 toxin genes, suggesting that preweaned calves may be a likely source for toxigenic C. difficile. On the basis of findings of our study, it can be concluded that multiplex real-time PCR carried out on samples enriched for C. difficile is a reliable, sensitive, and specific diagnostic tool for rapid screening and identification of samples contaminated with C. difficile.


IEEE Transactions on Medical Imaging | 2014

Simultaneous Sparsity Model for Histopathological Image Representation and Classification

Umamahesh Srinivas; Hojjat Seyed Mousavi; Vishal Monga; Arthur L. Hattel; Bhushan M. Jayarao

The multi-channel nature of digital histopathological images presents an opportunity to exploit the correlated color channel information for better image modeling. Inspired by recent work in sparsity for single channel image classification, we propose a new simultaneous sparsity model for multi-channel histopathological image representation and classification (SHIRC). Essentially, we represent a histopathological image as a sparse linear combination of training examples under suitable channel-wise constraints. Classification is performed by solving a newly formulated simultaneous sparsity-based optimization problem. A practical challenge is the correspondence of image objects (cellular and nuclear structures) at different spatial locations in the image. We propose a robust locally adaptive variant of SHIRC (LA-SHIRC) to tackle this issue. Experiments on two challenging real-world image data sets: 1) mammalian tissue images acquired by pathologists of the animal diagnostics lab (ADL) at Pennsylvania State University, and 2) human intraductal breast lesions, reveal the merits of our proposal over state-of-the-art alternatives. Further, we demonstrate that LA-SHIRC exhibits a more graceful decay in classification accuracy against the number of training images which is highly desirable in practice where generous training per class is often not available.


Journal of Veterinary Diagnostic Investigation | 2004

A Retrospective Study of Mortality in Pennsylvania Captive White-Tailed Deer (Odocoileus Virginianus): 2000–2003

Arthur L. Hattel; Daniel P. Shaw; Brenda C. Love; Donald C. Wagner; Thomas R. Drake; Jason W. Brooks

The postmortem records of 160 white-tailed deer (Odocoileus virginianus) submitted for necropsy examination from 59 separate Pennsylvania captive deer farms over a 3.5-year period were reviewed to determine the primary cause of death of each animal. The most common causes of death were bronchopneumonia (39 cases), enterocolitis (30 cases), malnutrition (13 cases), and trauma (11 cases). Other causes of mortality included severe gastrointestinal parasitism (6 cases), cellulitis with septicemia (5 cases), degenerative myopathy (4 cases), ruminal acidosis (4 cases), and nephritis (4 cases). The cause of death was undetermined in 13 of the 160 animals. Arcanobacterium pyogenes (19 cases), Fusobacterium necrophorum (10 cases), Escherichia coli (7 cases), and Mannheimia haemolytica (4 cases) were the most commonly isolated bacteria from the pneumonic lungs. Bacterial agents associated with enterocolitis included Clostridium perfringens (15 cases), E. coli (12 cases), and Mycobacterium avium subsp. paratuberculosis (2 cases). The majority (52.2%) of the death loss in white-tailed deer of known ages occurred in animals 1 year of age or less, with 46.2% of the bronchopneumonia cases and 50.0% of the enterocolitis cases occurring during this time period. Cases of degenerative myopathy, myocardial degeneration, hepatic necrosis, meningoencephalitis, peritonitis, and urolithiasis considered severe enough to be the primary cause of death appeared early in life, affecting deer 6 months of age or less in all cases. In conclusion, bronchopneumonia, enterocolitis, malnutrition, and trauma were considered the most common causes of death in confined white-tailed deer in this study.


international symposium on biomedical imaging | 2013

SHIRC: A simultaneous sparsity model for histopathological image representation and classification

Umamahesh Srinivas; Hojjat Seyed Mousavi; Charles Jeon; Vishal Monga; Arthur L. Hattel; Bhushan M. Jayarao

Automated classification of histopathological images is an important research problem in medical imaging. Digital histopathology exhibits two principally distinct characteristics: 1) invariably histopathological images are multi-channel (color) with key geometric information spread across the color channels instead of being captured by luminance alone, and 2) the richness of geometric structures in such tissue imagery makes feature extraction for classification very demanding. Inspired by recent work in the use of sparsity for single channel image classification, we propose a new simultaneous Sparsity model for multi-channel Histopathological Image Representation and Classification (SHIRC). Essentially, we represent a multi-channel histopathological image as a sparse linear combination of training examples under suitable channel-wise constraints and classification is performed by solving a newly formulated simultaneous sparsity-based optimization problem. Experiments on two challenging real-world image databases: 1) provided by pathologists of the Animal Diagnostics Lab (ADL) at Pennsylvania State University, and 2) histopathological images corresponding to intraductal breast lesions [1], reveal the merits of the proposed SHIRC model over state of the art alternatives.


Veterinary Parasitology | 1998

Neosporosis-associated bovine abortion in Pennsylvania.

Arthur L. Hattel; M.D Castro; J.D Gummo; D Weinstock; J.A Reed; J. P. Dubey

Neospora caninum was found in fetal tissues of 34 of 688 cases of bovine abortion submitted to the Pennsylvania Animal Diagnostic Laboratory System during the period from May 1994 to November 1996. The aborted fetuses ranged in gestational age from 3 to 8 months. Microscopic lesions consisted primarily of encephalitis and myocarditis. A labeled (strept) avidin-biotin staining procedure using anti-N. caninum polyclonal rabbit serum revealed N. caninum organisms within the fetal brain (27 of 27), heart (10 of 13), placenta (5 of 6), kidney (2 of 2), liver (1 of 4) and skeletal muscle (1 of 1).


Veterinary Parasitology | 2003

Additional evaluation of undiagnosed bovine abortion cases may reveal fetal neosporosis.

Lore A. Boger; Arthur L. Hattel

Diagnosis of Neospora caninum associated bovine abortion is often made by histological examination of fetal tissues, although this procedure is not very sensitive. One hundred and forty-four undiagnosed bovine abortion cases were evaluated for N. caninum associated bovine abortion using a revised diagnostic protocol. As a result, 12 (8.3%) of these previously undiagnosed bovine abortion cases were definitively diagnosed as N. caninum positive. The 12 new positive cases included 7 that had exhibited histological lesions, and 5 that had not exhibited histological lesions when examined prior to this study. None of the 12 cases had been immunohistochemically (IHC) stained prior to this study. Also, IHC staining implemented during this research revealed tachyzoites without associated histological lesions in at least 1 tissue from 69 (47.9%) of 144 aborted bovine fetuses, and positive IHC staining of cytoplasmic N. caninum antigen in macrophages in at least 1 tissue from 44 (30.6%) of 144 aborted bovine fetuses. These results demonstrate the necessity for more aggressive evaluation of bovine fetuses for neosporosis.


Vaccine | 2011

Blinded, controlled field trial of two commercially available Mycoplasma bovis bacterin vaccines in veal calves

Marty K. Soehnlen; Adnan Aydin; Eugene J. Lengerich; Beth A. Houser; Ginger D. Fenton; Hannah R. Lysczek; Carolyn M. Burns; Louise I. Byler; Arthur L. Hattel; D.R. Wolfgang; Bhushan M. Jayarao

Mycoplasma bovis is an etiologic agent of pneumonia, arthritis, and otitis in young calves, such as those found in the special-fed veal industry. We conducted a blinded, controlled trial of two commercially available M. bovis bacterin vaccines for the prevention of respiratory disease in calves associated with M. bovis infection. Calves were randomly assigned to a subcutaneous treatment of vaccine A (n=50), adjuvant A (n=50), vaccine B (n=50), or 0.9% sterile saline solution (n=50) beginning at 27 days of age. Upper-respiratory tract colonization was not impacted by vaccination status. Vaccine A significantly reduced the presence of lung lesions (p=0.0325), however there was no significant reduction of M. bovis in lung lesions. Vaccine B did not significantly reduce total lung lesions or M. bovis-specific lung lesions. The relative risk was determined to be 0.56, 1.0, and 1.36 for vaccine A, adjuvant A, and vaccine B, respectively. There was no association between the total specific antibody isotype (IgM, IgG1, IgG2, IgA) concentrations or M. bovis antibodies and the M. bovis-associated morbidity in the veal calves. Under the field conditions of this study, observed vaccine efficacy for vaccine A and vaccine B was 44% and less than 1%, respectively.


Journal of Dairy Science | 2012

Epidemiology of Mycoplasma bovis in Pennsylvania veal calves.

Marty K. Soehnlen; A. Aydin; K.S. Murthy; Eugene J. Lengerich; Arthur L. Hattel; Beth A. Houser; Ginger D. Fenton; Hannah R. Lysczek; C.M. Burns; A.M. Townsend; J.W. Brooks; D.R. Wolfgang; Bhushan M. Jayarao

The objective of the study was to estimate the prevalence and incidence of Mycoplasma bovis, a common cause of pneumonia, in veal calves. Using simple random sampling, 252 calves from 4 veal herds located in central Pennsylvania were selected and longitudinally followed for monthly collection of nasal swabs. Bronchial swabs and lung lesions were collected at the slaughterhouse. Nasal, bronchial, and lung lesion swabs were cultured for bacterial respiratory pathogens. Ninety lung lesions were identified, of which 41.1, 1.1, 1.1, 7.8, and 4.4% were culture positive for M. bovis alone, Pasteurella multocida alone, Mannheimia haemolytica alone, M. bovis and P. multocida co-infection, and M. bovis and M. haemolytica co-infection, respectively. The data indicate that potential interventions, such as therapeutics, vaccines, or management control measures, would be most effective before 50 d of age based upon the cumulative incidence of colonization.


Journal of Veterinary Diagnostic Investigation | 2007

Mortality in Pennsylvania captive elk (Cervus elaphus): 1998-2006.

Arthur L. Hattel; Daniel P. Shaw; Jenny S. Fisher; Jason W. Brooks; Brenda C. Love; Thomas R. Drake; Donald C. Wagner

The necropsy records of 65 elk ranging from 1 day to 13 1/2 years of age were reviewed to determine the primary cause of death of each animal. The animal carcasses were submitted from 22 separate Pennsylvania elk farms over an approximately 8-year period. The most common causes of mortality in animals in which the cause of death was determined were gastrointestinal parasitism (21 cases), pneumonia (7 cases), enterocolitis (5 cases), malnutrition (5 cases), and rumenitis/acidosis (5 cases). The cause of death was undetermined in 4 of the 65 elk. Nematode organisms (20 cases) were the primary parasites identified in cases of mortality owing to gastrointestinal parasitism. Arcanobacterium pyogenes (3 cases), Escherichia coli (3 cases), and Streptococcus sp. (2 cases) were the most commonly isolated bacteria from the lung in the cases of pneumonia. Fungal organisms, consistent with Aspergillus sp. were present histologically within the pulmonary lesions in 5 cases. Bacterial agents associated with enterocolitis included Clostridium perfringens (2 cases), E. coli (1 case), Salmonella Newport (1 case) and Salmonella Thompson (1 case). The majority (56.3%) of the death loss in elk of known ages occurred in animals 1 year of age or less, with 71.4% of the gastrointestinal parasitism, 60.0% of the malnutrition, 60.0% of the enterocolitis, and 57.1% of the pneumonia cases occurring in animals within this age range. In conclusion, gastrointestinal parasitism, pneumonia, malnutrition, enterocolitis and rumenitis acidosis were considered the most common causes of death in captive elk in this study.


Journal of Veterinary Diagnostic Investigation | 2007

Failure to Detect Bovine Viral Diarrhea Virus in Necropsied Farm-Raised White-Tailed Deer (Odocoileus Virginianus) in Pennsylvania

Jason W. Brooks; Douglas W. Key; Arthur L. Hattel; Ernest Hovingh; Ryan Peterson; Daniel P. Shaw; Jenny S. Fisher

Between January 1 and December 31, 2005 gross and histologic examinations were performed on carcasses of 61 farm-raised white-tailed deer originating from Pennsylvania. Single-tube real-time reverse transcription polymerase chain reaction (real-time RT-PCR) for the detection of bovine viral diarrhea virus type 1 (BVDV-1) and type 2 (BVDV-2) was performed on each animal. Virus isolation was performed on tissue samples from 25 of 61 animals. Immunohistochemical (IHC) staining of ear-notch skin to identify BVDV antigen was performed on each animal. All tissues samples tested negative for both BVDV-1 and BVDV-2 by real-time RT-PCR, virus isolation, and IHC. Gross or histopathologic lesions suggestive of BVDV infection were not detected. Results of this study suggest that BVD is not a common cause of mortality in farm-raised white-tailed deer in Pennsylvania.

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Bhushan M. Jayarao

Pennsylvania State University

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Jason W. Brooks

Pennsylvania State University

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Beth A. Houser

Pennsylvania State University

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Daniel P. Shaw

Pennsylvania State University

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Jenny S. Fisher

Pennsylvania State University

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Umamahesh Srinivas

Pennsylvania State University

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Vishal Monga

Pennsylvania State University

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D.R. Wolfgang

Pennsylvania State University

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Eugene J. Lengerich

Pennsylvania State University

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Ginger D. Fenton

Pennsylvania State University

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