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Record W2092884676 · doi:10.1115/icnmm2014-21583

Investigation of the Hydrodynamics of Suspended Cells for Reliable Inkjet Cell Printing

2014· article· en· W2092884676 on OpenAlexafffund
Eric Cheng, Ali Ahmadi, Karen C. Cheung

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNozzleMaterials scienceBody orificeNanotechnologyMechanicsOpticsMechanical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

Reliable inkjet drop-on-demand dispensing of cells has numerous applications including cell assays and tissue engineering. Previous work on inkjet cell printing has demonstrated that the cell count per droplet is inhomogeneous and does not follow the expected Poisson distribution. In the present work, the flow-induced cell behaviour is characterised to better understand the hydrodynamic mechanisms behind unreliable cell printing. A glass piezoelectric inkjet nozzle with an 80 μm diameter orifice is mounted on a PDMS cast which acts as a refractive index matching material for cell tracking through an inverted microscope. Droplet formation is achieved by a bipolar waveform. A high-speed camera focused on the centre plane of the nozzle captures images which are then analysed by a cell tracking algorithm to obtain the horizontal and vertical position of the cells over time. High-speed tracking of cells within a transparent inkjet nozzle revealed three possible cell behaviours caused by the formation and break-off of droplets. These behaviours are cell travel, cell ejection and cell reflection, determined as a function of the position of the cell at the onset of droplet formation. The first behaviour, cell travel, is characterised as the displacement of the cell towards the orifice during droplet formation followed by a small backwards motion due to the retracting meniscus after droplet pinch-off. Cell travel results in a net forward displacement of the cell towards the nozzle orifice. The second observed cell behaviour is cell ejection, where a cell is ejected with a droplet and can no longer be observed within the nozzle after the droplet break-off. The third observed cell behaviour is cell reflection. In this case, hydrodynamic forces produced during droplet ejection acts on the cell to move it further away from the nozzle orifice resulting in a net displacement of the cell away from the orifice after droplet ejection. Through the cell tracking information, it is hypothesized that cell reflection is caused by fluid flow reversal during the droplet ejection process. As a result of cell reflection, certain cells within a region close to the orifice will not be printed; instead they are pushed to a location further away from the orifice. Therefore, mapping of cell positions before droplet formation is performed to identify regions within the nozzle that exhibit a high probability of cell ejection and reflection. Overall, the results from this study will greatly contribute to our understanding of the cell printing process, which will allow us to optimize current inkjet systems for cell printing applications.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
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 score0.090
Threshold uncertainty score0.175

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.167
Teacher spread0.158 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2014
Admission routes2
Has abstractyes

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