Dataset Information

Focus Tracking System for Femtosecond Laser Machining using Low Coherence Interferometry.

ABSTRACT: We designed a real time, single-laser focus tracking system using low coherence properties of the machining femtosecond laser itself in order to monitor and correct the sample position relative to the focal plane. Using a Michelson Interferometer, the system collects data arising from part of the beam backscattered at the ablation spot. The data is analyzed by a custom software for position correction (employing an XYZ automated translation stage). With the focus tracking enabled we were able to etch channels with a stable cross-section profile on a bovine tooth with relief amplitude tens of times greater than the Rayleigh length of the system, keeping the sample inside the confocal parameter during most of the processing time. Moreover, the system is also capable of monitoring crater depth evolution during the ablation process, allowing for material removal assessment.

SUBMITTER: Raele MP

PROVIDER: S-EPMC6414527 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Focus Tracking System for Femtosecond Laser Machining using Low Coherence Interferometry.

Raele Marcus Paulo MP De Pretto Lucas Ramos LR de Rossi Wagner W Vieira Nilson Dias ND Samad Ricardo Elgul RE

Scientific reports 20190312 1

We designed a real time, single-laser focus tracking system using low coherence properties of the machining femtosecond laser itself in order to monitor and correct the sample position relative to the focal plane. Using a Michelson Interferometer, the system collects data arising from part of the beam backscattered at the ablation spot. The data is analyzed by a custom software for position correction (employing an XYZ automated translation stage). With the focus tracking enabled we were able to ...[more]

PMID: 30862829

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Project description:Airway organoids derived from adult murine epithelial cells represent a complex 3D in vitro system mimicking the airway epithelial tissue’s native cell composition and physiological properties. In combination with a precise damage induction via femtosecond laser-based nanosurgery, this model allows for the examination of intra- and intercellular dynamics in the course of repair processes with a high spatio-temporal resolution, which can hardly be reached using in vivo approaches. For characterization of the organoids’ response to single or multiple-cell ablation, we first analyzed overall organoid survival and found that airway organoids were capable of efficiently repairing damage induced by femtosecond laser-based ablation of a single to ten cells within 24 h. An EdU staining assay further revealed a steady proliferative potential of airway organoid cells. Especially in the case of ablation of five cells, proliferation was enhanced within the first four hours upon damage induction, whereas ablation of ten cells was followed by a slight decrease in proliferation within this time frame. Analyzing individual trajectories of single cells within airway organoids, we found an increased migratory behavior in cells within close proximity to the ablation site following the ablation of ten, but not five cells. Bulk RNA sequencing and subsequent enrichment analysis revealed the differential expression of sets of genes involved in the regulation of epithelial repair, distinct signaling pathway activities such as Notch signaling, as well as cell migration after laser-based ablation. Together, our findings demonstrate that organoid repair upon ablation of ten cells involves the same key processes by which native airway epithelial wound healing is regulated. This marks the herein presented in vitro damage model suitable to study repair processes following acute airway injury, thereby posing a novel approach to gain insights into the mechanisms driving epithelial repair on a single-cell level.

Dataset Information

Focus Tracking System for Femtosecond Laser Machining using Low Coherence Interferometry.

Publications

Focus Tracking System for Femtosecond Laser Machining using Low Coherence Interferometry.

Similar Datasets

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