ReviewMicromachines2022
Fabrication of Concave Microwells and Their Applications in Micro-Tissue Engineering: A Review.
Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
Who cites it
8 citing papers in PubMed.
- Transforming Drug Discovery with Miniaturized Predictive Tissue Models.Micromachines · 2025Article
- Co-culture of natural killer cells and tumor spheroids on a heterogeneous multilayer paper stack.Journal of Zhejiang University. Science. B · 2024Article
- Concave Microwell Formation Induced by PDMS Water Vapor Permeability for Spheroid Generation.Micromachines · 2024Article
- Simple and Rapid Method of Microwell Array Fabrication for Drug Testing on 3D Cancer Spheroids.ACS omega · 2024Article
- Construction of tumor organoids and their application to cancer research and therapy.Theranostics · 2024Review
- Design, Fabrication, and Applications of SERS Substrates for Food Safety Detection: Review.Micromachines · 2023Review
- Fabrication of a Low-Cost Microfluidic Device for High-Throughput Drug Testing on Static and Dynamic Cancer Spheroid Culture Models.Diagnostics (Basel, Switzerland) · 2023Article
- Breaking the clean room barrier: exploring low-cost alternatives for microfluidic devices.Frontiers in bioengineering and biotechnology · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
At present, there is an increasing need to mimic the in vivo micro-environment in the culture of cells and tissues in micro-tissue engineering. Concave microwells are becoming increasingly popular since they can provide a micro-environment that is closer to the in vivo environment compared to traditional microwells, which can facilitate the culture of cells and tissues. Here, we will summarize the fabrication methods of concave microwells, as well as their applications in micro-tissue engineering. The fabrication methods of concave microwells include traditional methods, such as lithography and etching, thermal reflow of photoresist, laser ablation, precision-computerized numerical control (CNC) milling, and emerging technologies, such as surface tension methods, the deformation of soft membranes, 3D printing, the molding of microbeads, air bubbles, and frozen droplets. The fabrication of concave microwells is transferring from professional microfabrication labs to common biochemical labs to facilitate their applications and provide convenience for users. Concave microwells have mostly been used in organ-on-a-chip models, including the formation and culture of 3D cell aggregates (spheroids, organoids, and embryoids). Researchers have also used microwells to study the influence of substrate topology on cellular behaviors. We will briefly review their applications in different aspects of micro-tissue engineering and discuss the further applications of concave microwells. We believe that building multiorgan-on-a-chip by 3D cell aggregates of different cell lines will be a popular application of concave microwells, while integrating physiologically relevant molecular analyses with the 3D culture platform will be another popular application in the near future. Furthermore, 3D cell aggregates from these biosystems will find more applications in drug screening and xenogeneic implantation.
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Registered trials
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.