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Investigation of the influence of red and infrared illumination on mechanical properties of cells: Photobiomodulation

2017· dissertation· en· W2578499051 on OpenAlexfundno aff
Ana Carolina de Magalhães

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicLaser Applications in Dentistry and Medicine
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoUniversity of TorontoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsConfocal laser scanning microscopyMicroscopyBiomedical engineeringMaterials scienceCytometryRed blood cellConfocal microscopyWound healingChemistryFlow cytometryBiophysicsPathologyMedicineCell biologyImmunologyBiology

Abstract

fetched live from OpenAlex

The photobiomodulation therapy (PBMT) has many demonstrated applications in the health area including anti-inflammatory and wound healing effects.The main objective of this work is to verify if the PBMT causes measurable changes in the mechanical properties of cells, specifically in red blood cells, epithelial cells and fibroblasts.In addition, to contribute to the knowledge of the action mechanisms of the PBMT, this study intends to support applications of the PBMT during invasive procedures, such as the direct photo-treatment of the blood in surgical procedures with cardiopulmonary bypass, regarding security of the cellular integrity.For this analysis, three experimental techniques were used: optical magnetic twisting cytometry (OMTC), defocusing microscopy and confocal laser-scanning microscopy.Human bronchial epithelial cells were evaluated with OMTC.The epithelial cell culture was either photo-treated or not, with red laser (λ=660 nm), and fixed power and time (power density of 153 mW/cm 2 , time 300 s).It was not possible to observe significant differences between photo-treated and control epithelial cells, for the hysteresivity (ratio between the cell loss and elastic shear moduli).The defocusing microscopy, similar to a phase contrast microscopy, was used to study human red blood cells from fresh blood.The red blood cells were either photo-treated or not, with red laser (λ=660 nm), and different powers and times (power densities from 0 to 510 mW/cm 2 , times from 0 to 180 s).Some morphological and mechanical characteristics of individual red blood cells were evaluated, such as volume, radial profile of cell thickness, lateral and vertical membrane fluctuations, for the photo-treated and control red blood cells.It was not possible to detect differences between the two groups, for any of the parameters analyzed.For both techniques, the absence of detectable differences might be due to several factors, such as the nonaction of the PBMT, with the parameters used, in the epithelial cells and red blood cells or to the small sensitivity of each technique.Confocal laser-scanning microscopy was used to evaluate the actin filaments of mouse fibroblasts.The fibroblast cell culture was either photo-treated or not, with red (λ=625 nm) or infrared (λ=808 nm) light and fixed power and time (power density from 113 to 158 mW/cm 2 , time 300 s).The nucleus and cell areas increased slightly when comparing photo-treated and control cells.On the other hand, the total actin, total actin density and the number of filaments decreased.These changes were detected for a short time after treatment, however, Contents Resumo ....

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.024
GPT teacher head0.279
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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