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Record W3213960546

Controlled illumination of a PDMS-free Retina-on-a-Chip for the proximity-culture of retinal organoids with pigment epithelial cells

2019· article· en· W3213960546 on OpenAlex
Johanna Chuchuy, Kevin Achberger, Christopher Probst, Jasmin Haderspeck, Lena Antkowiak, Stefan Liebau, Peter Loskill

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 2019
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsOrganoidRetinaRetinalPigmentRetinal pigment epitheliumCell biologyChemistryBiologyNeuroscienceBotany
DOInot available

Abstract

fetched live from OpenAlex

Purpose: In spite of comprehensive research over the last decades, there is often no treatment available for many retinal diseases, due to a lack of suitable in vitro models. We, hence, combined advanced microfabrication and stem cell technology to develop a human Retina-on-a-Chip (RoC) that embeds all relevant retinal cell types in a physiological microenvironment with vasculature-like supply. Methods: The chip-platform is fabricated using polymethylmethacrylate (PMMA) as base material. To realize a complex 3D environment within the RoC, microchannels and -structures were cut into several PMMA-layers with different heights via laser-assisted microfabrication. To separate the perfusion channels from the tissue compartments, we integrated isoporous membranes to emulate the vasculature microenvironment. The whole RoC was assembled via solvent bonding technique using defined amounts of ethanol, controlled pressure onto the layers and a convection oven. To generate the retinal tissue we combined retinal organoids and retinal pigment epithel derived from the same human induced pluripotent stem cells in the tissue compartments. Finally, for the light exposure, we developed an illumination device based on LED-arrays integrated into 3D-printed housings. Results: The developed microphysiological RoC enabled the generation of a 3D tissue featuring more than seven different cell types in a physiological multi-layer structure. Further, the RoC was able to support a stable long-term culture and to recapitulate the constant recycling process of photoreceptor outer-segments, which is a key function of the human retina. The choice of PMMA as base material provides a key advantage compared to polydimethylsiloxane (PDMS), which is commonly used for organ-on-chips (OoCs): PMMA features a much lower absorption of hydrophobic molecules. With the illumination-platform, it was possible to control the light intensity over culture periods and to apply defined exposure patterns to mimic both physiological day/night changes and light-toxicity. Conclusions: Combining the precise microengineering of OoCs with the biological self-assembly of organoids, we generated an in vitro model of the human retina with so-far unmatched functionality and the capacity for controlled light exposure. Thereby, the developed RoC is versatile for disease modeling, personalized medicine and toxicity screening. This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.235
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it