Evidence map›Paper›PMID 33955446›Full record

ArticleLab on a chip2021

Intelligent acoustofluidics enabled mini-bioreactors for human brain organoids.

Hongwei Cai, Zheng Ao, Zhuhao Wu, Sunghwa Song, Ken Mackie, Feng Guo

Abstract read
In one paragraph

Article in Lab on a chip, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Human brain organoids for understanding substance use disorders.Drug metabolism and pharmacokinetics · 2025
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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

6 authors.

Hongwei CaiDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA. fengguo@iu.edu.
Zheng AoDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA. fengguo@iu.edu.
Zhuhao WuDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA. fengguo@iu.edu.
Sunghwa SongDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA. fengguo@iu.edu.
Ken MackieGill Center for Biomolecular Science, and, Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.ORCID 0000-0001-8501-6199
Feng GuoDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN 47405, USA. fengguo@iu.edu.ORCID 0000-0001-9103-3235

Funding

An acoustofluidic avidity cytometer for massive parallel profiling single autoreactive T cell in autoimmune diseaseDP2AI160242 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG · 2020 to 2020
$2.4M
Acoustic assembly of patient tumor organoids for modeling cancer immunityR03EB030331 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG · 2020 to 2021
$159k
NIAID NIH HHS DP2 AI160242NIBIB NIH HHS R03 EB030331
6 · The paper itself

Abstract

Acoustofluidics, by combining acoustics and microfluidics, provides a unique means to manipulate cells and liquids for broad applications in biomedical sciences and translational medicine. However, it is challenging to standardize and maintain excellent performance of current acoustofluidic devices and systems due to a multiplicity of factors including device-to-device variation, manual operation, environmental factors, sample variability, etc. Herein, to address these challenges, we propose "intelligent acoustofluidics" - an automated system that involves acoustofluidic device design, sensor fusion, and intelligent controller integration. As a proof-of-concept, we developed intelligent acoustofluidics based mini-bioreactors for human brain organoid culture. Our mini-bioreactors consist of three components: (1) rotors for contact-free rotation via an acoustic spiral phase vortex approach, (2) a camera for real-time tracking of rotational actions, and (3) a reinforcement learning-based controller for closed-loop regulation of rotational manipulation. After training the reinforcement learning-based controller in simulation and experimental environments, our mini-bioreactors can achieve the automated rotation of rotors in well-plates. Importantly, our mini-bioreactors can enable excellent control over rotational mode, direction, and speed of rotors, regardless of fluctuations of rotor weight, liquid volume, and operating temperature. Moreover, we demonstrated our mini-bioreactors can stably maintain the rotational speed of organoids during long-term culture, and enhance neural differentiation and uniformity of organoids. Comparing with current acoustofluidics, our intelligent system has a superior performance in terms of automation, robustness, and accuracy, highlighting the potential of novel intelligent systems in microfluidic experimentation.

Indexed as

BioreactorsOrganoidsAcousticsBrainHumansMicrofluidics

Identifiers

PMID33955446
PMCPMC8243411

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.