Choose from one of the publication categories below:

Clinical Research


1. Chargari, C., Comperat, E., Magné, N., Védrine, L., Houlgatte, A., Egevad, L., Camparo, P., 2011. Prostate needle biopsy examination by means of virtual microscopy. Pathol. Res. Pract. 207, 366–369.

2. Daniel, C., Rojo, M. G., Klossa, J., Mea, V. D., Booker, D., Beckwith, B. A., Schrader, T., Oct. 2011. Standardizing the use of whole slide images in digital pathology. Computerized Medical Imaging and Graphics 35 (7-8), 496–505.

3. Dennis, T., Start, R. D., Cross, S. S., Mar. 2005. The use of digital imaging, video conferencing, and telepathology in histopathology: a national survey. Journal of clinical pathology 58 (3), 254–258.

4. Evans, A.J., Chetty, R., Clarke, B.A., Croul, S., Ghazarian, D.M., Kiehl, T.-R., Ordonez, B.P., Ilaalagan, S., Asa, S.L., 2009. Primary frozen section diagnosis by robotic microscopy and virtual slide telepathology: the University Health Network experience. Semin Diagn Pathol 26, 165–176.

5. Evered, A., Dudding, N., 2011. Accuracy and perceptions of virtual microscopy compared with glass slide microscopy in cervical cytology. Cytopathology 22, 82–87.

6. Ficsor, L., Varga, V.S., Tagscherer, A., Tulassay, Z., Molnar, B., 2008. Automated classification of inflammation in colon histological sections based on digital microscopy and advanced image analysis. Cytometry A 73, 230–237.

7. Gavrielides, M.A., Gallas, B.D., Lenz, P., Badano, A., Hewitt, S.M., 2011. Observer variability in the interpretation of HER2/neu immunohistochemical expression with unaided and computer-aided digital microscopy. Arch. Pathol. Lab. Med. 135, 233–242.

8. Gilbertson, J., Ho, J., Anthony, L., Jukic, D., Yagi, Y., Parwani, A., Apr. 2006. Primary histologic diagnosis using automated whole slide imaging: a validation study. BMC Clinical Pathology 6 (1), 4+.

9. Graham, A. R., Bhattacharyya, A. K., Scott, K. M., Lian, F., Grasso, L. L., Richter, L. C., Carpenter, J. B., Chiang, S., Henderson, J. T., Lopez, A. M. M., Barker, G. P., Weinstein, R. S., Aug. 2009. Virtual slide telepathology for an academic teaching hospital surgical pathology quality assurance program. Human pathology 40 (8), 1129–1136.


10. Ho, J., Parwani, A., Jukic, D., Yagi, Y., Anthony, L., Gilbertson, J., Mar. 2006. Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies. Human Pathology 37 (3), 322–331.

11. Huisman, A., Looijen, A., van den Brink, S. M., van Diest, P. J., May 2010. Creation of a fully digital pathology slide archive by high-volume tissue slide scanning. Human pathology 41 (5), 751–757.

12. Isse, K., Lesniak, A., Grama, K., Roysam, B., Minervini, M. I., Demetris, A. J., 2012. Digital transplantation pathology: Combining whole slide imaging, multiplex staining and automated image analysis. American Journal of Transplantation 12 (1), 27–37.

13. Jara-Lazaro, A.R., Thamboo, T.P., Teh, M., Tan, P.H., 2010. Digital pathology: exploring its applications in diagnostic surgical pathology practice. Pathology 42, 512–518.

14. Jukić, D.M., Drogowski, L.M., Martina, J., Parwani, A.V., 2011. Clinical examination and validation of primary diagnosis in anatomic pathology using whole slide digital images. Arch. Pathol. Lab. Med. 135, 372–378.

15. Kayser, K., Apr. 2012. Introduction of virtual microscopy in routine surgical pathology - a hypothesis and personal view from europe. Diagnostic Pathology $item.volume, 48+.

16. Kayser, K., Borkenfeld, S., Goldmann, T., Kayser, G., Dec. 2011. Virtual slides in peer reviewed, open access medical publication. Diagnostic Pathology 6, 124+. 

17. Kayser, K., Kayser, G., Radziszowski, D., Oehmann, A., 2004. New developments in digital pathology: from telepathology to virtual pathology laboratory. Studies in health technology and informatics 105, 61–69.

18. Koch, L.H., Lampros, J.N., Delong, L.K., Chen, S.C., Woosley, J.T., Hood, A.F., 2009. Randomized comparison of virtual microscopy and traditional glass microscopy in diagnostic accuracy among dermatology and pathology residents. Hum. Pathol. 40, 662–667.

19. Konsti, J., Lundin, M., Joensuu, H., Lehtimaki, T., Sihto, H., Holli, K., Turpeenniemi-Hujanen, T., Kataja, V., Sailas, L., Isola, J., Lundin, J., Jan. 2011. Development and evaluation of a virtual microscopy application for automated assessment of ki-67 expression in breast cancer. BMC clinical pathology 11 (1).


20. Mooney, E., Hood, A.F., Lampros, J., Kempf, W., Jemec, G.B.E., 2011. Comparative diagnostic accuracy in virtual dermatopathology. Skin Res Technol 17, 251–255.

21. Nielsen, P.S., Lindebjerg, J., Rasmussen, J., Starklint, H., Waldstrøm, M., Nielsen, B., 2010. Virtual microscopy: an evaluation of its validity and diagnostic performance in routine histologic diagnosis of skin tumors. Hum. Pathol. 41, 1770–1776.

22. Ozluk, Y., Blanco, P. L., Mengel, M., Solez, K., Halloran, P. F., Sis, B., Mar. 2012. Superiority of virtual microscopy versus light microscopy in transplantation pathology. Clinical transplantation 26 (2), 336–344.

23. Ramirez, N.C., Barr, T.J., Billiter, D.M., 2007. Utilizing virtual microscopy for quality control review. Dis. Markers 23, 459–466.

24. Rodriguez-Urrego, P.A., Cronin, A.M., Al-Ahmadie, H.A., Gopalan, A., Tickoo, S.K., Reuter, V.E., Fine, S.W., 2011. Interobserver and intraobserver reproducibility in digital and routine microscopic assessment of prostate needle biopsies. Hum. Pathol. 42, 68–74.

25. Stephan, Schrader, T., Jan. 2009. Integration and acceleration of virtual microscopy as the key to successful implementation into the routine diagnostic. Diagnostic Pathology 4, 3+.

26. Słodkowska, J., Pankowski, J., Siemiatkowska, K., Chyczewski, L., 2009a. Use of the virtual slide and the dynamic real-time telepathology systems for a consultation and the frozen section intra-operative diagnosis in thoracic/pulmonary pathology. Folia Histochem. Cytobiol. 47, 679–684.

27. Tsuchihashi, Y., Takamatsu, T., Hashimoto, Y., Takashima, T., Nakano, K., Fujita, S., 2008b. Use of virtual slide system for quick frozen intra-operative telepathology diagnosis in Kyoto, Japan. Diagn Pathol 3 Suppl 1, S6.

28. Weinstein, R. S., Graham, A. R., Richter, L. C., Barker, G. P., Krupinski, E. A., Lopez, A. M. M., Erps, K. A., Bhattacharyya, A. K., Yagi, Y., Gilbertson, J. R., Aug. 2009. Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future. Human pathology 40 (8), 1057–1069.

29. Weinstein, R. S. 2008 The S-curve framework: predicting the future of anatomic pathology. Arch Pathol Lab Med 132 (5):739–742.


Clinical Research

1. Al-Aqaba, M. A., Faraj, L., Fares, U., Otri, A. M., Dua, H. S., Jun. 2011. The morphologic characteristics of corneal nerves in advanced keratoconus as evaluated by acetylcholinesterase technique. American Journal of Ophthalmology.

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., May 2012. DNA repair biomarkers predict response to neoadjuvant chemoradiotherapy in esophageal cancer. International Journal of Radiation Oncology*Biology*Physics 83 (1), 164–171.

3. Angelini, A., Andersen, C. B., Bartoloni, G., Black, F., Bishop, P., Doran, H., Fedrigo, M., Fries, J. W. U., Goddard, M., Goebel, H., Neil, D., Leone, O., Marzullo, A., Ortmann, M., Paraf, F., Rotman, S., Turhan, N., Bruneval, P., Frigo, A. C., Grigoletto, F., Gasparetto, A., Mencarelli, R., Thiene, G., Burke, M., Aug. 2011. A web-based pilot study of inter-pathologist reproducibility using the ISHLT 2004 working formulation for biopsy diagnosis of cardiac allograft rejection: The european experience. The Journal of Heart and Lung Transplantation.

4. Belhomme, P., Oger, M., Michels, J.-J., Plancoulaine, B., Herlin, P., 2011. Towards a computer aided diagnosis system dedicated to virtual microscopy based on stereology sampling and diffusion maps. Diagn Pathol 6 Suppl 1, S3.

5. Barisoni, L., Jennette, C., Colvin, R., Bragat, A., Castelli, J., Sitaraman, S., Boudes, P., Feb. 2011. Novel quantitative method to evaluate GL-3 inclusions in renal peritubular capillaries (PTCs) in patients with fabry disease (FD) by virtual microscopy (VM). Molecular Genetics and Metabolism 102 (2), S7.

6. 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. Diagnostic pathology 6 Suppl 1.

7. Conway, C., Dobson, L., O’Grady, A., Kay, E., Costello, S., O’Shea, D., Sep. 2008. Virtual microscopy as an enabler of automated/quantitative assessment of protein expression in TMAs. Histochemistry and cell biology 130 (3), 447–463.

8. Cregger, M. , A. J. Berger , and D. L. Rimm. 2006 Immunohistochemistry and quantitative analysis of protein expression. Arch Pathol Lab Med. 130 (7):1026–1030.

9. Fine, J., Grzybicki, D., Silowash, R., Ho, J., Gilbertson, J., Anthony, L., Wilson, R., Parwani, A., Bastacky, S., Epstein, J., Apr. 2008. Evaluation of whole slide image immunohistochemistry interpretation in challenging prostate needle biopsies. Human Pathology 39 (4), 564–572.


10. Ficsor, L., Varga, V.S., Tagscherer, A., Tulassay, Z., Molnar, B., 2008. Automated classification of inflammation in colon histological sections based on digital microscopy and advanced image analysis. Cytometry A 73, 230–237.

11. Halama, N., Zoernig, I., Spille, A., Michel, S., Kloor, M., Grauling-Halama, S., Westphal, K., Schirmacher, P., Jäger, D., Grabe, N., 2010. Quantification of prognostic immune cell markers in colorectal cancer using whole slide imaging tumor maps. Anal. Quant. Cytol. Histol. 32, 333–340.

12. Hashiguchi, A., Hashimoto, Y., Suzuki, H., Sakamoto, M., Nov. 2010. Using immunofluorescent digital slide technology to quantify protein expression in archival paraffin-embedded tissue sections. Pathology international 60 (11), 720–725.

13. Konsti, J., Lundin, M., Joensuu, H., Lehtimaki, T., Sihto, H., Holli, K., Turpeenniemi-Hujanen, T., Kataja, V., Sailas, L., Isola, J., Lundin, J., Jan. 2011. Development and evaluation of a virtual microscopy application for automated assessment of ki-67 expression in breast cancer. BMC clinical pathology 11 (1).

14. Krecsák, L., Micsik, T., Kiszler, G., Krenács, T., Szabó, D., Jónás, V., Császár, G., Czuni, L., Gurzó, P., Ficsor, L., Molnár, B., 2011. Technical note on the validation of a semi-automated image analysis software application for estrogen and progesterone receptor detection in breast cancer. Diagn Pathol 6, 6. 

15. Madabhushi, A., Doyle, S., Lee, G., Basavanhally, A., Monaco, J., Masters, S., Tomaszewski, J., Feldman, M., May 2010. Integrated diagnostics: a conceptual framework with examples. Clinical Chemistry and Laboratory Medicine 48 (7), 989–998.

16. Mikula, S., Trotts, I., Stone, J. M., Jones, E. G., Mar. 2007. Internet-enabled high-resolution brain mapping and virtual microscopy. NeuroImage 35 (1), 9–15.

17. Sanders, D.S.A., Grabsch, H., Harrison, R., Bateman, A., Going, J., Goldin, R., Mapstone, N., Novelli, M., Walker, M.M., Jankowski, J., 2012. Comparing virtual with conventional microscopy for the consensus diagnosis of Barrett’s neoplasia in the AspECT Barrett’s chemoprevention trial pathology audit. Histopathology.

18. Słodkowska, J., Markiewicz, T., Grala, B., Kozłowski, W., Papierz, W., Pleskacz, K., Murawski, P., 2011. Accuracy of a remote quantitative image analysis in the whole slide images. Diagn Pathol 6 Suppl 1, S20.

19. Tolonen, T.T., Kujala, P.M., Tammela, T.L.J., Tuominen, V.J., Isola, J.J., Visakorpi, T., 2011. Overall and worst gleason scores are equally good predictors of prostate cancer progression. BMC Urol 11, 21.

20. Wienert, S., Heim, D., Saeger, K., Stenzinger, A., Beil, M., Hufnagl, P., Dietel, M., Denkert, C., Klauschen, F., 2012. Detection and segmentation of cell nuclei in virtual microscopy images: a minimum-model approach. Sci Rep 2, 503.



1. Ayad, E., Yagi, Y., 2012. Virtual microscopy beyond the pyramids, applications of WSI in Cairo University for E-education & telepathology. Anal Cell Pathol (Amst) 35, 93–95.

2. Bloodgood, R.A., 2012. Active learning: A small group histology laboratory exercise in a whole class setting utilizing virtual slides and peer education. Anatomical sciences education.

3. Collier, L., Dunham, S., Braun, M.W., O’Loughlin, V.D., 2012. Optical versus virtual: teaching assistant perceptions of the use of virtual microscopy in an undergraduate human anatomy course. Anat Sci Educ 5, 10–19.

4. Dee, F. R., Aug. 2009. Virtual microscopy in pathology education. Human Pathology 40 (8), 1112–1121.

5. Donnelly, A.D., Mukherjee, M.S., Lyden, E.R., Radio, S.J., 2012. Virtual microscopy in cytotechnology education: Application of knowledge from virtual to glass. Cytojournal 9, 12.

6. Fonyad, L., Gerely, L., Cserneky, M., Molnar, B., Matolcsy, A., Nov. 2010. Shifting gears higher - digital slides in graduate education - 4 years experience at semmelweis university. Diagnostic Pathology 5, 73+.

7. Gorstein, F., Jan. 2002. Trends in pathology education. Human pathology 33 (1).

8. Helle, L., Nivala, M., Kronqvist, P., Gegenfurtner, A., Björk, P., Säljö, R., 2011. Traditional microscopy instruction versus process-oriented virtual microscopy instruction: a naturalistic experiment with control group. Diagn Pathol 6 Suppl 1, S8.

9. Higazi, T.B., 2011. Use of interactive live digital imaging to enhance histology learning in introductory level anatomy and physiology classes. Anat Sci Educ 4, 78–83.

10. Helin, H., Lundin, M., Lundin, J., Martikainen, P., Tammela, T., Helin, H., van der Kwast, T., Isola, J., Apr. 2005. Web-based virtual microscopy in teaching and standardizing gleason grading. Hum Pathol 36 (4), 381–386.

11. Kayser, K., Ogilvie, R., Borkenfeld, S., Kayser, G., 2011. E-education in pathology including certification of e-institutions. Diagn Pathol 6 Suppl 1, S11.

12. Kim, M. H., Park, Y., Seo, D., Lim, Y. J., Kim, D.-I., Kim, C. W., Kim, W. H., Mar. 2008. Virtual microscopy as a practical alternative to conventional microscopy in pathology education. Basic and Applied Pathology 1 (1), 46–48.

13. Kumar, R. K., Velan, G. M., Korell, S. O., Kandara, M., Dee, F. R., Wakefield, D., Dec. 2004. Virtual microscopy for learning and assessment in pathology. J Pathol 204 (5), 613–618.

14. Linder, E., Lundin, M., Thors, C., Lebbad, M., Winiecka-Krusnell, J., Helin, H., Leiva, B., Isola, J., Lundin, J., 2008. Web-based virtual microscopy for parasitology: a novel tool for education and quality assurance. PLoS neglected tropical diseases 2 (10).

15. Merk, M., Knuechel, R., Perez-Bouza, A., Dec. 2010. Web-based virtual microscopy at the RWTH aachen university: Didactic concept, methods and analysis of acceptance by the students. Annals of Anatomy - Anatomischer Anzeiger 192 (6), 383–387.

16. Nivala, M., Säljö, R., Rystedt, H., Kronqvist, P., Lehtinen, E., Mar. 2012. Using virtual microscopy to scaffold learning of pathology: a naturalistic experiment on the role of visual and conceptual cues. Instructional Science, 1–13.

17. Paulsen, F. P., Eichhorn, M., Bräuer, L., Dec. 2010. Virtual microscopy-The future of teaching histology in the medical curriculum?  Annals of Anatomy - Anatomischer Anzeiger 192 (6), 378–382.

18. Raja, S., 2010. Virtual microscopy as a teaching tool adjuvant to traditional microscopy. Medical Education 44 (11), 1126.

19. Schmidt, C., Reinehr, M., Leucht, O., Behrendt, N., Geiler, S., Britsch, S., 2011. MyMiCROscope: intelligent virtual microscopy in a blended learning model at Ulm University. Ann. Anat. 193, 395–402.

20. Szymas, J., Lundin, M., 2011. Five years of experience teaching pathology to dental students using the WebMicroscope. Diagn Pathol 6 Suppl 1, S13.

21. Triola, M., Holloway, W., 2011. Enhanced virtual microscopy for collaborative education. BMC Medical Education 11 (1), 4+.


22. Tsuchihashi, Y., 2011. Expanding application of digital pathology in Japan--from education, telepathology to autodiagnosis. Diagn Pathol 6 Suppl 1, S19.



1. Daniel, C., Macary, F., Rojo, M.G., Klossa, J., Laurinavičius, A., Beckwith, B.A., Della Mea, V., 2011. Recent advances in standards for Collaborative Digital Anatomic Pathology. Diagn Pathol 6 Suppl 1, S17. 

2. Drake, T.A., Braun, J., Marchevsky, A., Kohane, I.S., Fletcher, C., Chueh, H., Beckwith, B., Berkowicz, D., Kuo, F., Zeng, Q.T., Balis, U., Holzbach, A., McMurry, A., Gee, C.E., McDonald, C.J., Schadow, G., Davis, M., Hattab, E.M., Blevins, L., Hook, J., Becich, M., Crowley, R.S., Taube, S.E., Berman, J., 2007. A system for sharing routine surgical pathology specimens across institutions: the Shared Pathology Informatics Network. Hum. Pathol. 38, 1212–1225.

3. Doyle, S., Monaco, J., Feldman, M., Tomaszewski, J., Madabhushi, A., Oct. 2011. An active learning based classification strategy for the minority class problem: application to histopathology annotation. BMC bioinformatics 12 (1), 424+.

4. Evans, A.J., 2011. Re: Barriers and facilitators to adoption of soft copy interpretation from the user perspective: Lessons learned from filmless radiology for slideless pathology. J Pathol Inform, 2011;2:1, Patterson et al. J Pathol Inform 2, 8.

5. Feldman, M. D., May 2008. Beyond morphology: whole slide imaging, computer-aided detection, and other techniques. Archives of pathology & laboratory medicine 132 (5), 758–763.

6. Gabril, M. Y., Yousef, G. M., Mar. 2010. Informatics for practicing anatomical pathologists: marking a new era in pathology practice. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 23 (3), 349–358.

7. Gilbertson, J., Yagi, Y., 2008. Histology, imaging and new diagnostic work-flows in pathology. Diagnostic Pathology 3 (Suppl 1), S14+.

8. Henricks, W.H., 2011. “Meaningful use” of electronic health records and its relevance to laboratories and pathologists. J Pathol Inform 2, 7.

9. Hipp, J.D., Sica, J., McKenna, B., Monaco, J., Madabhushi, A., Cheng, J., Balis, U.J., 2011. The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community. J Pathol Inform 2, 31.


10. Kalinski, T., Zwönitzer, R., Grabellus, F., Sheu, S.-Y., Sel, S., Hofmann, H., Roessner, A., 2011. Lossless compression of JPEG2000 whole slide images is not required for diagnostic virtual microscopy. Am. J. Clin. Pathol. 136, 889–895.

11. Kayser, K., Gortler, J., Goldmann, T., Vollmer, E., Hufnagl, P., Kayser, G., Apr. 2008. Image standards in Tissue-Based diagnosis (diagnostic surgical pathology). Diagnostic Pathology 3, 17+.

12. Krupinski, E. A., Silverstein, L. D., Hashmi, S. F., Graham, A. R., Weinstein, R. S., Roehrig, H., May 2012. Observer performance using virtual pathology slides: Impact of LCD color reproduction accuracy. Journal of Digital Imaging.

13. Pantanowitz, L., 2010. Digital images and the future of digital pathology. J Pathol Inform 1.

14. Park, S., Parwani, A., Satyanarayanan, M., Pantanowitz, L., 2012. Handheld computing in pathology. J Pathol Inform 3, 15.

15. Roa-Pena, L., Gomez, F., Romero, E., Nov. 2010. An experimental study of pathologist’s navigation patterns in virtual microscopy. Diagnostic Pathology 5, 71+.

16. Tuominen, V., Isola, J. The application of JPEG2000 in virtual microscopy. Journal of Digital Imaging.

17. Wong, M.C., Udayan, R., Yee, K.C., 2011. “Omics” and Biomedical Informatics: The Future of Pathology and Pathology Informatics. But, are we Ready for the Future? Indian J Clin Biochem 26, 217–221.

18. Yagi, Y., Gilbertson, J. R., May 2005. Digital imaging in pathology: the case for standardization. Journal of telemedicine and telecare 11 (3), 109–116.

19. Zwonitzer, R., Kalinski, T., Hofmann, H., Roessner, A., Bernarding, J., Sep. 2007. Digital pathology: DICOM-conform draft, testbed, and first results. Computer Methods and Programs in Biomedicine 87 (3), 181–188.