Rapid confocal imaging of large areas of excised tissue with strip mosaicing. Academic Article uri icon

Overview

abstract

  • Imaging large areas of tissue rapidly and with high resolution may enable rapid pathology at the bedside. The limited field of view of high-resolution microscopes requires the merging of multiple images that are taken sequentially to cover a large area. This merging or mosaicing of images requires long acquisition and processing times, and produces artifacts. To reduce both time and artifacts, we developed a mosaicing method on a confocal microscope that images morphology in large areas of excised tissue with sub-cellular detail. By acquiring image strips with aspect ratios of 10:1 and higher (instead of the standard ~1:1) and "stitching" them in software, our method images 10 × 10 mm(2) area of tissue in about 3 min. This method, which we call "strip mosaicing," is currently three times as fast as our previous method.

publication date

  • May 1, 2011

Research

keywords

  • Algorithms
  • Image Enhancement
  • Microscopy, Confocal
  • Microscopy, Video
  • Mohs Surgery
  • Pathology, Surgical
  • Pattern Recognition, Automated
  • Skin Neoplasms

Identity

PubMed Central ID

  • PMC3117897

Scopus Document Identifier

  • 80455163246

Digital Object Identifier (DOI)

  • 10.1002/jemt.20393

PubMed ID

  • 21639560

Additional Document Info

volume

  • 16

issue

  • 5