The coming paradigm shift: A transition from manual to automated microscopy

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 tech...

Full description

Saved in:
Bibliographic Details
Main Authors: Navid Farahani (Author), Corey E Monteith (Author)
Format: Book
Published: Elsevier, 2016-01-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_c0fdad4c11d7440dba8f048d6b4c0fd3
042 |a dc 
100 1 0 |a Navid Farahani  |e author 
700 1 0 |a Corey E Monteith  |e author 
245 0 0 |a The coming paradigm shift: A transition from manual to automated microscopy 
260 |b Elsevier,   |c 2016-01-01T00:00:00Z. 
500 |a 2153-3539 
500 |a 2153-3539 
500 |a 10.4103/2153-3539.189698 
520 |a 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. 
546 |a EN 
690 |a Automated light microscopy 
690 |a high-throughput 
690 |a mixed reality 
690 |a three-dimensional imaging 
690 |a virtual reality 
690 |a Computer applications to medicine. Medical informatics 
690 |a R858-859.7 
690 |a Pathology 
690 |a RB1-214 
655 7 |a article  |2 local 
786 0 |n Journal of Pathology Informatics, Vol 7, Iss 1, Pp 35-35 (2016) 
787 0 |n http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2016;volume=7;issue=1;spage=35;epage=35;aulast= 
787 0 |n https://doaj.org/toc/2153-3539 
787 0 |n https://doaj.org/toc/2153-3539 
856 4 1 |u https://doaj.org/article/c0fdad4c11d7440dba8f048d6b4c0fd3  |z Connect to this object online.