Learning to transfer microscopy image modalities

Learning to transfer microscopy image modalities Phase Contrast and Differential Interference Contrast (DIC) microscopy are two popular noninvasive techniques for monitoring live cells. Each of these two imaging modalities has its own advantages and disadvantages to visualize specimens, so biologists need these two complementary modalities together to analyze specimens. In this paper, we propose a novel data-driven learning method capable of transferring microscopy images from one imaging modality to the other imaging modality, reflecting the characteristics of specimens from different perspectives. For example, given a Phase Contrast microscope, we can transfer its images to the corresponding DIC images without using DIC microscope, vice versa. The preliminary experiments demonstrate that the image transfer approach can provide biologists a computational way to switch between microscopy imaging modalities, so biologists can combine the advantages of different imaging modalities to better visualize and analyze specimens over time, without purchasing all types of microscopy imaging modalities or switching between imaging systems back-and-forth during time-lapse experiments. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Machine Vision and Applications Springer Journals

Learning to transfer microscopy image modalities

Loading next page...
 
/lp/springer_journal/learning-to-transfer-microscopy-image-modalities-05wqECvxZd
Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Computer Science; Pattern Recognition; Image Processing and Computer Vision; Communications Engineering, Networks
ISSN
0932-8092
eISSN
1432-1769
D.O.I.
10.1007/s00138-018-0946-7
Publisher site
See Article on Publisher Site

Abstract

Phase Contrast and Differential Interference Contrast (DIC) microscopy are two popular noninvasive techniques for monitoring live cells. Each of these two imaging modalities has its own advantages and disadvantages to visualize specimens, so biologists need these two complementary modalities together to analyze specimens. In this paper, we propose a novel data-driven learning method capable of transferring microscopy images from one imaging modality to the other imaging modality, reflecting the characteristics of specimens from different perspectives. For example, given a Phase Contrast microscope, we can transfer its images to the corresponding DIC images without using DIC microscope, vice versa. The preliminary experiments demonstrate that the image transfer approach can provide biologists a computational way to switch between microscopy imaging modalities, so biologists can combine the advantages of different imaging modalities to better visualize and analyze specimens over time, without purchasing all types of microscopy imaging modalities or switching between imaging systems back-and-forth during time-lapse experiments.

Journal

Machine Vision and ApplicationsSpringer Journals

Published: Jun 6, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off