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Erratum:
Erratum: Antibody supervised deep learning for quantification of tumor infiltrating immune cells in hematoxylin and eosin stained breast cancer samples
J Pathol Inform
2016, 7:41 (28 September 2016)
DOI
:10.4103/2153-3539.191031
PMID
:27761297
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Editorial:
The coming paradigm shift: A transition from manual to automated microscopy
Navid Farahani, Corey E Monteith
J Pathol Inform
2016, 7:35 (1 September 2016)
DOI
:10.4103/2153-3539.189698
PMID
:27688926
The field of pathology has used light microscopy (LM) extensively since the mid-19
th
century for examination of histological tissue preparations. This technology has remained the foremost tool in use by pathologists even as other fields have undergone a great change in recent years through new technologies. However, as new microscopy techniques are perfected and made available, this reliance on the standard LM will likely begin to change. Advanced imaging involving both diffraction-limited and subdiffraction techniques are bringing nondestructive, high-resolution, molecular-level imaging to pathology. Some of these technologies can produce three-dimensional (3D) datasets from sampled tissues. In addition, block-face/tissue-sectioning techniques are already providing automated, large-scale 3D datasets of whole specimens. These datasets allow pathologists to see an entire sample with all of its spatial information intact, and furthermore allow image analysis such as detection, segmentation, and classification, which are impossible in standard LM. It is likely that these technologies herald a major paradigm shift in the field of pathology.
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Editorial:
An industry perspective: An update on the adoption of whole slide imaging
Michael C Montalto
J Pathol Inform
2016, 7:18 (11 April 2016)
DOI
:10.4103/2153-3539.180014
PMID
:27141323
This manuscript is an adaptation of the closing keynote presentation of the Digital Pathology Association Pathology Visions Conference 2015 in Boston, MA, USA. In this presentation, analogies are drawn between the adoption of whole slide imaging (WSI) and other mainstream digital technologies, including digital music and books. In doing so, it is revealed that the adoption of seemingly similar digital technologies does not follow the same adoption profiles and that understanding the unique aspects of value for each customer segment is critical. Finally, a call to action is given to academia and industry to study the value that WSI brings to the global healthcare community.
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Editorial:
How can we improve Science, Technology, Engineering, and Math education to encourage careers in Biomedical and Pathology Informatics?
Rahul Uppal, Gunasheil Mandava, Katrina M Romagnoli, Andrew J King, Amie J Draper, Adam L Handen, Arielle M Fisher, Michael J Becich, Joyeeta Dutta-Moscato
J Pathol Inform
2016, 7:2 (29 January 2016)
DOI
:10.4103/2153-3539.175375
PMID
:26955500
The Computer Science, Biology, and Biomedical Informatics (CoSBBI) program was initiated in 2011 to expose the critical role of informatics in biomedicine to talented high school students.
[1]
By involving them in Science, Technology, Engineering, and Math (STEM) training at the high school level and providing mentorship and research opportunities throughout the formative years of their education, CoSBBI creates a research infrastructure designed to develop young informaticians. Our central premise is that the trajectory necessary to be an expert in the emerging fields of biomedical informatics and pathology informatics requires accelerated learning at an early age.In our 4
th
year of CoSBBI as a part of the University of Pittsburgh Cancer Institute (UPCI) Academy
(http://www.upci.upmc.edu/summeracademy/)
, and our 2nd year of CoSBBI as an independent informatics-based academy, we enhanced our classroom curriculum, added hands-on computer science instruction, and expanded research projects to include clinical informatics. We also conducted a qualitative evaluation of the program to identify areas that need improvement in order to achieve our goal of creating a pipeline of exceptionally well-trained applicants for both the disciplines of pathology informatics and biomedical informatics in the era of big data and personalized medicine.
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© Journal of Pathology Informatics | Published by Wolters Kluwer -
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Online since 10
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