Evidence map›Paper›PMID 30799861›Full record

ArticleJournal of visualized experiments : JoVE2019

Longitudinal Morphological and Physiological Monitoring of Three-dimensional Tumor Spheroids Using Optical Coherence Tomography.

Yongyang Huang, Jinyun Zou, Mudabbir Badar, Junchao Liu, Wentao Shi, Shunqiang Wang, Qiongyu Guo, Xiaofang Wang, Sarah Kessel, Leo Li-Ying Chan and 4 more

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

Yongyang HuangDepartment of Electrical and Computer Engineering, Lehigh University.
Jinyun ZouDepartment of Electrical and Computer Engineering, Lehigh University.
Mudabbir BadarDepartment of Electrical and Computer Engineering, Lehigh University.
Junchao LiuDepartment of Electrical and Computer Engineering, Lehigh University.
Wentao ShiDepartment of Bioengineering, Lehigh University.
Shunqiang WangDepartment of Mechanical Engineering, Lehigh University.
Qiongyu GuoDepartment of Biomedical Engineering, Southern University of Science and Technology.
Xiaofang WangDepartment of Electrical and Computer Engineering, Lehigh University.
Sarah KesselDepartment of Technology R&D, Nexcelom Bioscience LLC.
Leo Li-Ying ChanDepartment of Technology R&D, Nexcelom Bioscience LLC.
Peter LiDepartment of Technology R&D, Nexcelom Bioscience LLC.
Yaling LiuDepartment of Mechanical Engineering, Lehigh University; Department of Bioengineering, Lehigh University.
Jean QiuDepartment of Technology R&D, Nexcelom Bioscience LLC.
Chao ZhouDepartment of Electrical and Computer Engineering, Lehigh University; Department of Bioengineering, Lehigh University; Center for Photonics and Nanoelectronics, Lehigh University; chz212@lehigh.edu.
Lehigh University · USSouthern University of Science and Technology · CN

Funding

Supplement: Hemolysis Prediction Software DevelopmentR01HL131750 · NHLBI · LEHIGH UNIVERSITY · PI LIU, YALING · 2017 to 2021
$2.2M
High throughput optical coherence tomography (OCT)-based imaging platform for label-free, non-invasive characterization of 3D tumor spheroids.R01EB025209 · NIBIB · WASHINGTON UNIVERSITY · PI ZHOU, CHAO · 2017 to 2021
$1.4M
Novel optical imaging and pacing platform for developmental cardiologyR15EB019704 · NIBIB · LEHIGH UNIVERSITY · PI BERDICHEVSKY, YEVGENY · 2015 to 2015
$470k
Space-division multiplexing optical coherence tomography for large-scale, millisecond resolution imaging of neural activityR21EY026380 · NEI · LEHIGH UNIVERSITY · PI BERDICHEVSKY, YEVGENY, ZHOU, CHAO · 2015 to 2016
$468k
NEI NIH HHS R21 EY026380NHLBI NIH HHS R01 HL131750NIBIB NIH HHS R01 EB025209NIBIB NIH HHS R15 EB019704
6 · The paper itself

Abstract

Tumor spheroids have been developed as a three-dimensional (3D) cell culture model in cancer research and anti-cancer drug discovery. However, currently, high-throughput imaging modalities utilizing bright field or fluorescence detection, are unable to resolve the overall 3D structure of the tumor spheroid due to limited light penetration, diffusion of fluorescent dyes and depth-resolvability. Recently, our lab demonstrated the use of optical coherence tomography (OCT), a label-free and non-destructive 3D imaging modality, to perform longitudinal characterization of multicellular tumor spheroids in a 96-well plate. OCT was capable of obtaining 3D morphological and physiological information of tumor spheroids growing up to about 600 µm in height. In this article, we demonstrate a high-throughput OCT (HT-OCT) imaging system that scans the whole multi-well plate and obtains 3D OCT data of tumor spheroids automatically. We describe the details of the HT-OCT system and construction guidelines in the protocol. From the 3D OCT data, one can visualize the overall structure of the spheroid with 3D rendered and orthogonal slices, characterize the longitudinal growth curve of the tumor spheroid based on the morphological information of size and volume, and monitor the growth of the dead-cell regions in the tumor spheroid based on optical intrinsic attenuation contrast. We show that HT-OCT can be used as a high-throughput imaging modality for drug screening as well as characterizing biofabricated samples.

Indexed as

Monitoring, PhysiologicHumansImaging, Three-DimensionalNeoplasmsSpheroids, CellularTomography, Optical CoherenceTumor Cells, Cultured

Identifiers

PMID30799861
PMCPMC6681648
OpenAlexW2914109655

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.