Life Sciences Publications

Choose from one of the categories below:

 

Research

Biopharma

Veterinary Pathology Education

 

 

Research

1. Al-Aqaba, M.A., Faraj, L., Fares, U., Otri, A.M., Dua, H.S., 2011. The morphologic characteristics of corneal nerves in advanced keratoconus as evaluated by acetylcholinesterase technique. Am. J. Ophthalmol. 152, 364–376.e1.


2. Alexander, B.M., Wang, X.Z., Niemierko, A., Weaver, D.T., Mak, R.H., Roof, K.S., Fidias, P., Wain, J., Choi, N.C., 2012. DNA repair biomarkers predict response to neoadjuvant chemoradiotherapy in esophageal cancer. Int. J. Radiat. Oncol. Biol. Phys. 83, 164–171.


3. Brazdziute, E., Laurinavicius, A., 2011. Digital pathology evaluation of complement C4d component deposition in the kidney allograft biopsies is a useful tool to improve reproducibility of the scoring. Diagn Pathol 6 Suppl 1, S5.


4. Clarke, G.M., Peressotti, C., Constantinou, P., Hosseinzadeh, D., Martel, A., Yaffe, M.J., 2011. Increasing specimen coverage using digital whole-mount breast pathology: Implementation, clinical feasibility and application in research. Computerized Medical Imaging and Graphics 35, 531–541.


5. Daniel, C., Rojo, M.G., Klossa, J., Mea, V.D., Booker, D., Beckwith, B.A., Schrader, T., 2011. Standardizing the use of whole slide images in digital pathology. Computerized Medical Imaging and Graphics 35, 496–505.


6. Dell’Anna, R., Demichelis, F., Barbareschi, M., Sboner, A., 2005. An automated procedure to properly handle digital images in large scale Tissue Microarray experiments. Computer Methods and Programs in Biomedicine 79, 197–208.


7. Fuchs, T.J., Buhmann, J.M., 2011. Computational pathology: Challenges and promises for tissue analysis. Computerized Medical Imaging and Graphics 35, 515–530.


8. Grabe, N., Lahrmann, B., Pommerencke, T., von Knebel Doeberitz, M., Reuschenbach, M., Wentzensen, N., 2010. A virtual microscopy system to scan, evaluate and archive biomarker enhanced cervical cytology slides. Cell. Oncol. 32, 109–119.


9. Guzman, M., Judkins, A.R., 2009. Digital pathology: a tool for 21st century neuropathology. Brain Pathol. 19, 305–316.


10. Isse, K., Grama, K., Abbott, I.M., Lesniak, A., Lunz, J.G., Lee, W.M.F., Specht, S., Corbitt, N., Mizuguchi, Y., Roysam, B., Demetris, A.J., 2010. Adding Value to Liver (and Allograft) Biopsy Evaluation Using a Combination of Multiplex Quantum Dot Immunostaining, High-Resolution Whole-Slide Digital Imaging, and Automated Image Analysis. Clinics in Liver Disease 14, 669–685.

 

11. Janowczyk, A., Chandran, S., Singh, R., Sasaroli, D., Coukos, G., Feldman, M.D., Madabhushi, A., 2012. High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts. IEEE Trans Biomed Eng 59, 1240–1252.

 
12. Keller, B., Chen, W., Gavrielides, M.A., 2012. Quantitative assessment and classification of tissue-based biomarker expression with color content analysis. Arch. Pathol. Lab. Med. 136, 539–550.


13. Madabhushi, A., Agner, S., Basavanhally, A., Doyle, S., Lee, G., 2011. Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Computerized Medical Imaging and Graphics 35, 506–514.


14. Mikula, S., Stone, J.M., Jones, E.G., 2008. BrainMaps.org - Interactive High-Resolution Digital Brain Atlases and Virtual Microscopy. Brains Minds Media 3, bmm1426.


15. Mueller, D., Vossen, D., Hulsken, B., 2011. Real-time deformable registration of multi-modal whole slides for digital pathology. Computerized Medical Imaging and Graphics 35, 542–556.


16. Nederlof, M., Watanabe, S., Burnip, B., Taylor, D.L., Critchley-Thorne, R., 2011. High-throughput profiling of tissue and tissue model microarrays: Combined transmitted light and 3-color fluorescence digital pathology. J Pathol Inform 2, 50.


17. Samaroo, H.D., Opsahl, A.C., Schreiber, J., O’Neill, S.M., Marconi, M., Qian, J., Carvajal-Gonzalez, S., Tate, B., Milici, A.J., Bales, K.R., Stephenson, D.T., 2012. High throughput object-based image analysis of β-amyloid plaques in human and transgenic mouse brain. Journal of Neuroscience Methods 204, 179–188.


18. Słodkowska, J., Rojo, M.G., 2011. Digital pathology in personalized cancer therapy. Folia Histochem. Cytobiol. 49, 570–578.


19. Tobin, N.P., Lundgren, K.L., Conway, C., Anagnostaki, L., Costello, S., Landberg, G., n.d. Automated image analysis of cyclin D1 protein expression in invasive lobular breast carcinoma provides independent prognostic information. Human Pathology.


20. Xu, J., Janowczyk, A., Chandran, S., Madabhushi, A., 2011. A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Analysis 15, 851–862.

 

 

Biopharma

1. Avdalovic, M., Putney, L., Tyler, N., Finkbeiner, W., Pinkerton, K., Hyde, D., 2009. In Utero and Postnatal Exposure to Environmental Tobacco Smoke (ETS) Alters Alveolar and Respiratory Bronchiole (RB) Growth and Development in Infant Monkeys. Toxicologic Pathology 37, 256 –263.


2. Bodié, K., Gagne, G.D., Sramek, M.K., Desmond, D.J., Abel, S.J., Fagerland, J.A., 2011. Asymptomatic Macrothrombocytopenia in a Young Pure-Bred Beagle Dog. Toxicologic Pathology 39, 980 –987.


3. Boyce, J.T., Boyce, R.W., Gundersen, H.J., 2010. Choice of Morphometric Methods and Consequences in the Regulatory Environment. Toxicologic Pathology 38, 1128 –1133.


4. Boyce, R.W., Dorph-Petersen, K.-A., Lyck, L., Gundersen, H.J.G., 2010. Design-based Stereology. Toxicologic Pathology 38, 1011 –1025.


5. Carll, A.P., Haykal-Coates, N., Winsett, D.W., Hazari, M.S., Nyska, A., Richards, J.H., Willis, M.S., Costa, D.L., Farraj, A.K., 2011. Dietary Salt Exacerbates Isoproterenol-Induced Cardiomyopathy in Rats. Toxicologic Pathology 39, 925 –937.


6. Crawford, L.W., Foley, J.F., Elmore, S.A., 2010. Histology Atlas of the Developing Mouse Hepatobiliary System with Emphasis on Embryonic Days 9.5-18.5. Toxicologic Pathology 38, 872 –906.


7. Cruz-Roa, A., Caicedo, J.C., González, F.A., 2011. Visual pattern mining in histology image collections using bag of features. Artificial Intelligence in Medicine 52, 91–106.


8. Dee, F.R., 2006. Virtual Microscopy for Comparative Pathology. Toxicologic Pathology 34, 966 –967.


9. Dunstan, R.W., Wharton, K.A., Quigley, C., Lowe, A., 2011. The Use of Immunohistochemistry for Biomarker Assessment—Can It Compete with Other Technologies? Toxicologic Pathology 39, 988 –1002.


10. Engle, S.K., Jordan, W.H., Pritt, M.L., Chiang, A.Y., Davis, M.A., Zimmermann, J.L., Rudmann, D.G., Heinz-Taheny, K.M., Irizarry, A.R., Yamamoto, Y., Mendel, D., Schultze, A.E., Cornwell, P.D., Watson, D.E., 2009. Qualification of Cardiac Troponin I Concentration in Mouse Serum Using Isoproterenol and Implementation in Pharmacology Studies to Accelerate Drug Development. Toxicologic Pathology 37, 617 –628.

 

11. Fagerland, J.A., Wall, H.G., Pandher, K., LeRoy, B.E., Gagne, G.D., 2012. Ultrastructural Analysis in Preclinical Safety Evaluation. Toxicologic Pathology 40, 391 –402.


12. Gosselin, S.J., Palate, B., Parker, G.A., Engelhardt, J.A., Hardisty, J.F., McDorman, K.S., Tellier, P.A., Silverman, L.R., 2011. Industry–Contract Research Organization Pathology Interactions. Toxicologic Pathology 39, 422 –428.


13. Hale, S.L., Andrews-Jones, L., Jordan, W.H., Jortner, B.S., Boyce, R.W., Boyce, J.T., III, R.C.S., Butt, M.T., Garman, R.H., Jensen, K., Krinke, G., Little, P.B., 2011. Modern Pathology Methods for Neural Investigations. Toxicologic Pathology 39, 52 –57.


14. Hill, G.D., Moore, A.B., Kissling, G.E., Flagler, N.D., Ney, E., Cline, J.M., Dixon, D., 2011. Effects of Hormonally Active Agents on Steroid Hormone Receptor Expression and Cell Proliferation in the Myometrium of Ovariectomized Macaques. Toxicologic Pathology 39, 508 –515.


15. Hvid, H., Fels, J.J., Kirk, R.K., Thorup, I., Jensen, H.E., Hansen, B.F., Oleksiewicz, M.B., 2011. In Situ Phosphorylation of Akt and ERK1/2 in Rat Mammary Gland, Colon, and Liver Following Treatment with Human Insulin and IGF-1. Toxicologic Pathology 39, 623 –640.


16. Kushida, M., Kamendulis, L.M., Peat, T.J., Klaunig, J.E., 2011. Dose-Related Induction of Hepatic Preneoplastic Lesions by Diethylnitrosamine in C57BL/6 Mice. Toxicologic Pathology 39, 776 –786.


17. Long, R.E., Smith, A., Machotka, S.V., Chlipala, E., Cann, J., Knight, B., Kawano, Y., Ellin, J., Lowe, A., 2012. Scientific and Regulatory Policy Committee (SRPC) Paper: Validation of Digital Pathology Systems in the Regulated Nonclinical Environment. Toxicologic Pathology.


18. McCullough, B., Ying, X., Monticello, T., Bonnefoi, M., 2004. Digital microscopy imaging and new approaches in toxicologic pathology. Toxicol Pathol 32 Suppl 2, 49–58.


19. Mulrane, L., Rexhepaj, E., Smart, V., Callanan, J.J., Orhan, D., Eldem, T., Mally, A., Schroeder, S., Meyer, K., Wendt, M., O’Shea, D., Gallagher, W.M., 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, 235–245.

 

20. Nakae, D., Uematsu, F., Hatanaka, Y., Konishi, Y., Maekawa, A., Takahashi, M., Yoshida, M., 2005. P1 Altered Expression of Gene Products Involved as a Complex in the Endogenous Hepatocarcinogenesis of Rats Fed a Choline-Deficient, L-Amino Acid-Defined Diet. Toxicologic Pathology 33, 185 –203.


21. Pinches, M.D., Betts, C.J., Bickerton, S.J., Beattie, L., Burdett, L.D., Thomas, H.T., Derbyshire, N.A., Moores, M., Price, S.A., 2012. Evaluation of Novel Urinary Renal Biomarkers: Biological Variation and Reference Change Values. Toxicologic Pathology 40, 541 –549.


22. Potts, S.J., 2009. Digital pathology in drug discovery and development: multisite integration. Drug Discov. Today 14, 935–941.


23. Potts, S.J., Young, G.D., Voelker, F.A., 2010. The role and impact of quantitative discovery pathology. Drug Discovery Today 15, 943–950.


24. Price, S.A., Davies, D., Rowlinson, R., Copley, C.G., Roche, A., Falkenberg, F.W., Riccardi, D., Betton, G.R., 2010. Characterization of Renal Papillary Antigen 1 (RPA-1), a Biomarker of Renal Papillary Necrosis. Toxicologic Pathology 38, 346 –358.


25. Savolainen, S.M., Foley, J.F., Elmore, S.A., 2009. Histology Atlas of the Developing Mouse Heart with Emphasis on E11.5 to E18.5. Toxicologic Pathology 37, 395 –414.


26. Schofield, P.N., Dubus, P., Klein, L., Moore, M., McKerlie, C., Ward, J.M., Sundberg, J.P., 2011. Pathology of the Laboratory Mouse. Toxicologic Pathology 39, 559 –562.


27. Schofield, P.N., Vogel, P., Gkoutos, G.V., Sundberg, J.P., 2012. Exploring the elephant: histopathology in high-throughput phenotyping of mutant mice. Dis Model Mech 5, 19–25.


28. Spoor, M.S., Radi, Z.A., Dunstan, R.W., 2008. Characterization of Age- and Gender-related Changes in the Spleen and Thymus from Control Cynomolgus Macaques Used in Toxicity Studies. Toxicologic Pathology 36, 695 –704.


29. Tuomari, D.L., Kemp, R.K., Sellers, R., Yarrington, J.T., Geoly, F.J., Fouillet, X.L.M., Dybdal, N., Perry, R., 2007. Society of Toxicologic Pathology Position Paper on Pathology Image Data: Compliance with 21 CFR Parts 58 and 11. Toxicologic Pathology 35, 450 –455.

 

30. Turner, R.J., Helps, S.C., Thornton, E., Vink, R., 2011. A substance Pantagonist improves outcome when administered 4 h after onset of ischaemic stroke. Brain Research 1393, 84–90.


31. Whitney, K.M., Schwartz Sterman, A.J., O’Connor, J., Foley, G.L., Garman, R.H., 2011. Light Microscopic Sciatic Nerve Changes in Control Beagle Dogs from Toxicity Studies. Toxicologic Pathology 39, 835 –840.


32. Xie, L., Cianciolo, R.E., Hulette, B., Lee, H.W., Qi, Y., Cofer, G., Johnson, G.A., 2012. Magnetic Resonance Histology of Age-Related Nephropathy in the Sprague Dawley Rat. Toxicologic Pathology 40, 764 –778.


33. Ying, X., Monticello, T.M., 2006. Modern Imaging Technologies in Toxicologic Pathology: An Overview. Toxicologic Pathology 34, 815 –826.


34. Yoshizawa, K., Kuro-Kuwata, M., Sasaki, T., Lai, Y.-C.C., Kanematsu, S., Miki, H., Kimura-Kawanaka, A., Uehara, N., Yuri, T., Tsubura, A., 2011. Retinal Degeneration Induced in Adult Mice by a Single Intraperitoneal Injection of N-Ethyl-N-Nitrosourea. Toxicologic Pathology 39, 606 –613.


35. Zabka, T.S., Fielden, M.R., Garrido, R., Tao, J., Fretland, A.J., Fretland, J.L., Albassam, M.A., Singer, T., Kolaja, K.L., 2011. Characterization of Xenobiotic-Induced Hepatocellular Enzyme Induction in Rats. Toxicologic Pathology 39, 664 –677.

 

 

Veterinary Pathology Education

1. Dee, F.R., Meyerholz, D.K., 2007. Teaching medical pathology in the twenty-first century: virtual microscopy applications. J Vet Med Educ 34, 431–436.


2. Neel, J.A., Grindem, C.B., Bristol, D.G., 2007. Introduction and evaluation of virtual microscopy in teaching veterinary cytopathology. J Vet Med Educ 34, 437–444.


3. Sims, M.H., Mendis-Handagama, C., Moore, R.N., 2007. Virtual microscopy in a veterinary curriculum. J Vet Med Educ 34, 416–422.