Application References
Drug Delivery
Tolman, J et al. 2009. Dose tolerability of chronically inhaled voriconazole solution in rodents. Int J of Pharmaceutics 379(1): 25-31. College of Pharmacy, University of Texas at Austin, Austin, Texas.
Wong, HL et al. 2007. In vivo evaluation of a new polymer-lipid hybrid nanoparticle (PLN) formulation of doxorubicin in a murine solid tumor model. European Journal of Pharmaceutics and Biopharmaceutics 65: 300- 308. Graduate Department of Pharmaceutical Sciences, University of Toronto, Ontario, Canada.
Education
Bruch, L et al. 2009. Competency assessment of residents in surgical pathology using virtual microscopy. Hum Pathol. 40(8):1122-1128. Department of Pathology, Carver College of Medicine, The University of Iowa, Iowa City, Iowa.
Dee, F. 2008. Virtual microscopy in pathology education. Human Pathology 40(8): 1112-1121. Department of Pathology, Carver College of Medicine, University of Iowa, Iowa City, Iowa.
Farah, C and Maybury, T. 2009. The e-Evolution of Microscopy in Dental Education. J Dent Educ. 73(8): 942-949. University of Queensland, School of Dentistry and UQ Centre for Clinical Research, Herston, Queensland, Australia.
Goldberg, H and Dintzis, R. 2007. The positive impact of team-based virtual microscopy on student learning in physiology and histology. Advan Physiol Educ 31: 261- 265. The Johns Hopkins School of Medicine, The Johns Hopkins University, Baltimore, Maryland.
Ho, J et al. 2006. Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies. Human Pathology. Center for Pathology Informatics, Dept of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Koch, L et al. 2009. Randomized comparison of virtual microscopy and traditional glass microscopy in diagnostic accuracy among dermatology and pathology residents. Human Pathology 40(5): 662-667.
Lundin, M et al. 2004. Virtual microscopy. Journal Clinical Pathology 57: 1250-1251. Biomedical Informatics Group, Department of Oncology, University of Helsinki, Finland.
Marchevsky, M et al. 2006. The use of virtual microscopy for proficiency testing in gynecologic cytopathology. Arch Pathol Lab Med 130: 349-355. Dept of Pathology and Lab Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
Rocha, R et al. 2009. Digital slides: present status of a tool for consultation, teaching, and quality control in pathology. Pathology Res and Pract 205 (11): 735-741. Cancer Hospital, Department of Pathology, São Paulo, Brazil.
Rojo, MG et al. 2006. Critical comparison of 31 commercially available digital slide systems in pathology. International Journal of Surgical Pathology 14: 285. Pathology Department, Hospital General de Ciudad Real, Spain.
Stewart, J et al. 2008. Virtual microscopy: an educator’s tool for the enhancement of cytotechnology students’ locator skills. Diagn Cytopathol. 36(6):363-368. University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Uhlen, M et al. 2005. A human protein atlas for normal and cancer tissues based on antibody proteomics. Molecular & Cellular Proteomics 4: 1920-1932. Dept of Biotechnology, AlbaNova Univ Center, Royal Institute of Technology, Stockholm, Sweden.
Woosley, J. 2008. A virtual microscopy image database for dermatopathology education. J of Cutaneous Path 32(1): 121-122. University of North Carolina School of Medicine, Chapel Hill, North Carolina.
General Applications
Lundin, M et al. 2004. Virtual microscopy. Journal Clinical Pathology 57: 1250-1251. Biomedical Informatics Group, Department of Oncology, University of Helsinki, Finland.
Image Processing
Breitbach, CJ et al. 2007. Targeted Inflammation During Oncolytic Virus Therapy Severely Compromises Tumor Blood Flow. J Am Soc Gene Ther 15(9):1686-93. Centre for Cancer Therapeutics, Ottawa Health Research Institute, Ottawa, Ontario, Canada.
Fan, J et al. 2007. Saikosaponin-d attenuates the development of liver fibrosis by preventing hepatocyte injury. Biochem. Cell Biol. 85: 189-195. Faculty of Pharmacy, University of Manitoba, Winnipeg, Canada.
Kiraly, MA et al. 2007. Attenuation of type 2 diabetes mellitus in the male Zucker diabetic fatty rat: the effects of stress and non-volitional exercise. Metabolism Clinical and Experimental 56: 732-744. Dept of Physiology; Medical Sciences Building, University of Toronto, Toronto, Ontario, Canada.
Krajewska, M et al. 2007. Claudin-I immunohistochemistry for distinguishing malignant from benign epithelial lesions of prostate. The Prostate 67: 907-910. Burnham Institute for Medical Research, La Jolla, CA.
Miller, SL et al. 2007. Nek3 kinase regulates prolactin-mediated cytoskeletal reorganization and motility of breast cancer cells. Oncogene 26: 4668-4678. Department of Molecular Pharmacology and Chemistry, Memorial Sloan Kettering Cancer Center, New York, NY.
Pham, Nhu-An et al. 2007. Quantitative image analysis of immunohistochemical stains using a CMYK color model. Diagnostic Pathology 2:8 Division of Applied Molecular Oncology, Ontario Cancer Institute/Princess Margaret Hospital, University Health Network, Toronto, Canada.
Soltani, N et al. 2007. In vivo expression of GLP-1/lgG-Fc fusion protein enhances betacell mass and protects against streptozotocininduced diabetes. Gene Therapy 14, 981-988. Department of Medicine, University of Toronto, Ontario, Canada.
Wenzel, P et al. 2007. Rb is critical in a mammalian tissue stem cell population. Genes & Development 21:85-97. Human Cancer Genetics Program, Department of Molecular Virology, Immunology and Medical Genetics, College of Medicine, The Ohio State University, Columbus, Ohio.
Wiederschain, D et al. 2007. Contribution of polycomb homologues Bmi-1 and Mel-18 to medulloblastoma pathogenesis. Molecular and Cellular Biology 27(13): 4968-4979. Oncology Research and Discovery Technologies, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Wong, HL et al. 2006. In vivo evaluation of a new polymer-lipid hybrid nanoparticle (PLN) formulation of doxorubicin in a murine solid tumor model. European Journal of Pharmaceutics Biopharmaceutics 65: 300-308. Grad Dept of Pharmaceutical Sciences, University of Toronto, Ontario, Canada.
Yang, X et al. 2007. Differences in risk factors for breast cancer molecular subtypes in a population-based study. Cancer Epidemiol Biomarkers Prev 16(3): 439-443. Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Bethesda, Maryland.
Immunohistochemistry (IHC)
Farris, A et al. 2009. Diffuse cellular and fibrosing interstitial pneumonitis with desquamative interstitial pneumonitis-like features associated with myeloid neoplasia. Am J Surg Path: 33 (10): 1485-1493. Massachusetts General Hospital, Boston, Massachusetts.
Fine, J et al. 2008. Evaluation of whole slide image immunohistochemistry interpretation in challenging prostate needle biopsies. Human Pathology. 39 (4): 564- 572. Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Kalinsky, K et al. 2009. PIK3CA mutation associates with improved outcome in breast cancer. Clin Cancer Res 15: 5049. Memorial Sloan-Kettering Cancer Center, New York, New York.
Katz, S. et al. 2009. T-Cell infiltrate predicts longterm survival following resection of colorectal cancer liver metastases. Ann Surg Oncol 16:2524–2530. Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York.
Linking Pathology with Radiology
Slaymaker, M et al. 2006. A prototype infrastructure for the secure aggregation of imaging and pathology data for colorectal cancer care. IEEE Computer-Based Medical Systems. Oxford University Computing Laboratory, Oxford, United Kindgom.
Microvessel Analysis
Rajaganeshan, R et al. 2008. The role of hypoxia in recurrence following resection of Dukes’ B colorectal cancer. Int J Colorectal Disease. 23:1049–1055. St James’s University Hospital, Leeds, UK.
Rajaganeshan, R et al. 2009. Expression patterns of hypoxic markers at the invasive margin of colorectal cancers and liver metastases. European Journal of Surgical Oncology, St James’s University Hospital, Leeds, UK.
Ranger, J et al. 2009. Identification of a Stat3-Dependent Transcription Regulatory Network Involved in Metastatic Progression. Cancer Res. 69(17):6823–30. Goodman Cancer Center, McGill University, Quebec, Canada.
Schade, B et al. 2009. PTEN Deficiency in a Luminal ErbB-2 Mouse Model Results in Dramatic Acceleration of Mammary Tumorigenesis and Metastasis. J. Biol. Chem. 284: 19018-19026. Goodman Cancer Center, McGill University, Quebec, Canada.
Sullivan, C and Chung, C. 2009. Biomarker Validation: In Situ Analysis of Protein Expression Using Semiquantitative Immunohistochemistry-Based Techniques. Clinical Colorectal Cancer. 7: 172-177. Section of Medical Oncology, Yale University School of Medicine, Yale Cancer Center, New Haven, CT.
Ursini-Siegel, J et al. 2008. ShcA signalling is essential for tumor progression in mouse models of human breast cancer. European Molecular Biology Organization Journal. 27(6): 910–920. Departments of Medicine and Biochemistry, McGill University, McGill University Health Center, Montreal, Quebec, Canada.
Nanotechnology
Wong, HL et al. 2007. In vivo evaluation of a new polymer-lipid hybrid nanoparticle (PLN) formulation of doxorubicin in a murine solid tumor model. European Journal of Pharmaceutics and Biopharmaceutics 65: 300- 308. Graduate Department of Pharmaceutical Sciences, University of Toronto, Ontario, Canada.
Neuroscience
Tokuno, H. 2009. Web-accessible digital brain atlas of the common marmoset (Callithrix jacchus). Neurosci Res. 64(1):128-31. Department of Brain Structure, Tokyo Metropolitan Institute for Neuroscience, Fuchu, Tokyo.
Pathologist Adoption
Mea, VD et al. 2006. User attitudes in analyzing digital slides in a quality control test bed: A preliminary study. Computer Methods and Programs in Biomedicine 82: 177-186. Dept of Math and Computer Science, University of Udine, Udine, Italy.
Platform Comparisons
Rojo, MG et al. 2008. Reading virtual slide using web viewers: results of subjective experience with three different solutions. Diagn Pathol. Jul 15:3 Suppl 1:S23. Hospital General de Ciudad Real, Ciudad Real, Spain.
Rojo, MG et al. 2006. Critical comparison of 31 commercially available digital slide systems in pathology. International Journal of Surgical Pathology 14: 285. Pathology Department, Hospital General de Ciudad Real, Spain.imaging technologies in toxicologic pathology: an overview. Toxicologic Pathology 34:815-826. Drug Safety Evaluation, Sanofi-Aventis, Bridgewater, New Jersey.
Ying, X and Monticello, T. 2006. Modern imaging technologies in toxicologic pathology: an overview. Toxicologic Pathology 34:815-826. Drug Safety Evaluation, Sanofi-Aventis, Bridgewater, New Jersey.
Proficiency Testing
Marchevsy, M et al. 2006. The use of virtual microscopy for proficiency testing in gynecologic cytopathology. Arch Pathol Lab Med 130: 349-355. Dept of Pathology and Lab Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
Stewart, J et al. 2007. Virtual microscopy for cytology proficiency testing. Cancer Cytopathology 111(4): 203-209. Dept of Pathology and Lab Med, University of Wisconsin School of Med and Public Health, Madison, Wisconsin.
Quality Assurance Testing
Ho, J et al. 2006. Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies. Human Pathology. Center for Pathology Informatics, Dept of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Jefferson, T et al. 2009. Implementation of a Canadian external quality assurance program for breast cancer biomarkers: an initiative of Canadian Quality Control in Immunohistochemistry (cIQc) and Canadian Association of Pathologists (CAP) National Standards Committee Immunohistochemistry. Applied Immunohistochemistry & Molecular Morphology. 17 (5): 375-382.
Ramirez, N et al. 2007. Utilizing virtual microscopy for quality control review. Disease Markers 23: 459-466. Columbus Children's Research Institute, Center for Childhood Cancer, Columbus, Ohio.
Tissue Microarrays
Bjorling, E et al. 2007. A web-based tool for in silico biomarker discovery based on tissuespecific protein profiles in normal and cancer tissues. Molecular & Cellular Proteomics. School of Biotechnology, AlbaNova Univ Center, Royal Institute of Tech, Stockholm, Sweden.
Conway, C et al. 2006. The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line. BMC Bioinformatics 7: 256. Med Informatics Group, School of Biotechnology, Dublin City Univ, Dublin, Ireland.
Liu, J et al. 2006. Integrin-linked kinase inhibitor KP-392 demonstrates clinical benefits in an orthotopic human non-small cell lung cancer model. J Thorac Oncol 1:771-779. Div of Thoracic Surgery, Toronto General Hospital, University Health Network and the Dept of Surgery and Institute of Med Science, Faculty of Medicine, University of Toronto, Ontario, Canada.
Luciano, F et al. 2007. Nur77 converts phenotype of Bcl-B, an antiapoptotic protein expressed in plasma cells and myeloma. Blood 109(9): 3849-3855. Burnham Institute for Medical Research, La Jolla, California.
Miller, SL et al. 2007. Nek3 kinase regulates prolactin-mediated cytoskeletal reorganization and motility of breast cancer cells. Oncogene 26: 4668-4678. Dept of Molecular Pharmacology and Chemistry, Memorial Sloan Kettering Cancer Center, New York, New York.
Rabinovich, A et al. 2006. Framework for parsing, visualizing and scoring tissue microarray images. IEEE Transactions on Info Tech in Biomedicine 10(2): 209-219. Dept of Computer Science and Engineering, UCSD, La Jolla, California.
Sauter, G et al. 2003. Tissue microarrays in drug discovery. Nature 2: 962-972. Institut of Pathology, Univ of Basel, Basel, Switzerland. Stewart, J et al. 2006. Comparison of annexin II, p63 and AMACR immunoreactivity in prostatic tissue: a tissue microarray study. Journal Clinical Pathology. 60: 773-780. Dept of Pathology, Toronto General Hospital, Toronto, Ontario, Canada.
Stewart, J et al. 2006. Comparison of annexin II, p63 and AMACR immunoreactivity in prostatic tissue: a tissue microarray study. Journal Clinical Pathology. 60: 773-780. Dept of Pathology, Toronto General Hospital, Toronto, Canada.
Stromberg, S et al. 2007. A high-throughput strategy for protein profiling in cell microarrays using automated image analysis. Proteomics 7: 2142-2150. Dept of Genetics and Pathology, Rudbeck Lab, Uppsala Univ, Uppsala, Sweden.
Whiteford, C et al. 2007. Credentialing preclinical pediatric xenograft models using gene expression and tissue microarray analysis. Cancer Research 67(1): 32-40. Oncogemomics section, NIH, Bethesda, Maryland.
Yang, XR et al. 2007. Hormonal markers in breast cancer: coexpression, relationship with pathologic characteristics, and risk factor associations in a population-based study. Cancer Research 67(21): 10608-10617. Division of Cancer Epidemiology & Genetics, NIH, Bethesda, Maryland.
Yoshimoto, M et al. 2007. FISH analysis of 107 prostate cancers show that PTEN genomic deletion is associated with poor clinical outcome. British Journal of Cancer 1-8. Division of Applied Molecular Oncology, Ontario Cancer Institute, Princess Margaret Hospital , Toronto, Ontario, Canada.
Toxicologic Pathology
Dee, F. 2006. Virtual microscopy for comparative pathology. Toxicologic Pathology 34(7):966-967. Professor of Pathology Univ of Iowa, Iowa City, Iowa.
Laoighse, M et al. 2008. Creation of a digital slide and tissue microarray resource from a multi-institutional predictive toxicology study in the rat: An initial report from the PredTox group. Experimental and Toxicologic Pathology 60 (4-5): 235-245. UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland.
McCullough, B et al. 2004. Digital microscopy imaging and new approaches in toxicologic pathology. Toxicologic Pathology 32(2): 49- 58. Aventis, Drug Safety Evaluation, Bridgewater, New Jersey.
Mulrane, L et al. 2009. Application of digital slide scanning and tissue microarray technology in integration of toxicological pathology and biomarker development. Experimental and Toxicologic Pathology 61(3): 260-261. UCD Conway Institute, University College Dublin, Dublin, Ireland.
Mulrane, L, et al. 2008. Creation of a digital slide and tissue microarray resource from a multi-institutional predictive toxicology study in the rat: an initial report from the PredTox group. Experimental And Toxicologic Pathology 60 (4-5): 235-45. UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin
Ying, X and Monticello,T. 2006. Modern imaging technologies in toxicologic pathology: an overview. Toxicologic Pathology 34:815- 826. Drug Safety Evaluation, sanofi-aventis, Bridgewater, New Jersey.
Virtual Tissue Database
Conway, C et al. 2006. The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line. BMC Bioinformatics 7: 256. Med Informatics Group, School of Biotechnology, Dublin City Univ, Dublin, Ireland.
Mikula, S et al. 2007. Internet-enabled highresolution brian mapping and virtual microscopy. NeuroImage 35:9-15. Center for Neuroscience University of California, Davis, California.
Uhlen, Mathias et al. 2005. A human protein atlas for normal and cancer tissues based on antibody proteomics. Molecular & Cellular Proteomics 4:1920-1932. Dept of Biotechnology, AlbaNova Univ Center, Royal Institute of Technology, Stockholm, Sweden.
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