Skip to main content
Journal ArticleOPEN ACCESS

AI-powered transmitted light microscopy for functional analysis of live cells

Scientific Reports (2019) 9(1)
DOI: 10.1038/s41598-019-54961-x
19Citations
Citations of this article
59Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Transmitted light microscopy can readily visualize the morphology of living cells. Here, we introduce artificial-intelligence-powered transmitted light microscopy (AIM) for subcellular structure identification and labeling-free functional analysis of live cells. AIM provides accurate images of subcellular organelles; allows identification of cellular and functional characteristics (cell type, viability, and maturation stage); and facilitates live cell tracking and multimodality analysis of immune cells in their native form without labeling.

References Powered by Scopus

Going deeper with convolutions

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
39606Citations
N/AReaders
Get full text

ImageNet Large Scale Visual Recognition Challenge

International Journal of Computer Vision
30431Citations
N/AReaders
Get full text

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence
26007Citations
N/AReaders
Get full text
View more at Scopus

Cited by Powered by Scopus

AI on a chip

Lab on a Chip
100Citations
N/AReaders
Get full text

Artificial intelligence-based microfluidic platforms for the sensitive detection of environmental pollutants: Recent advances and prospects

Trends in Environmental Analytical Chemistry
55Citations
N/AReaders
Get full text

Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?

Nano Today
28Citations
N/AReaders
Get full text
View more at Scopus

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Kim, D., Min, Y., Oh, J. M., & Cho, Y. K. (2019). AI-powered transmitted light microscopy for functional analysis of live cells. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-54961-x

Readers' Seniority

Tooltip

Researcher 16

47%

PhD / Post grad / Masters / Doc 15

44%

Professor / Associate Prof. 2

6%

Lecturer / Post doc 1

3%

Readers' Discipline

Tooltip

Engineering 12

43%

Biochemistry, Genetics and Molecular Bi... 9

32%

Agricultural and Biological Sciences 4

14%

Computer Science 3

11%

Save time finding and organizing research with Mendeley

Sign up for free