Purpose: To study the optical density (OD) of primary dental dentine and provide data for further research.
Methods: The Digora system of dental digital radiography was used to acquire digital radiographic images of cross sections from 32 deciduous maxillary central incisors, and to measure the OD values of different depth (outer, middle and inner layers) and four sides (mesial, distal, labial and palatal sides) in dentine. The difference was analyzed with one-way ANOVA and SNK using SAS 6.12 software package.
Results: The OD value of inner layer dentine was significantly lower than that of outer and middle layers (P=0.002), but there was no significant difference among four sides of dentine (P=0.0997).
Conclusions: OD value is an indirect physical quantity of dental mineralization, it provides a convenient digital indicator for the research of dental hard tissues.
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Appl Microbiol Biotechnol
January 2025
Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
The production of biodegradable and biobased polymers is one way to overcome the present plastic pollution while using cheap and abundant feedstocks. Polyhydroxyalkanoates are a promising class of biopolymers that can be produced by various microorganisms. Within the production process, batch-to-batch variation occurs due to changing feedstock composition when using waste streams, slightly different starting conditions, or biological variance of the microorganisms.
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Carrera de Agroindustria, Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López, ESPAM-MFL, Calceta. 130250, Ecuador.
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View Article and Find Full Text PDFActa Ophthalmol
January 2025
Department of Ophthalmology, Stavanger University Hospital, Stavanger, Norway.
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BMC Ophthalmol
January 2025
College of Optometry, University of Houston College of Optometry, 4401 Martin Luther King Blvd, 77204-2020, Houston, TX, USA.
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Sci Rep
January 2025
Fischell Department of Bioengineering, University of Maryland, College Park, USA.
The development of optical sensors for label-free quantification of cell parameters has numerous uses in the biomedical arena. However, using current optical probes requires the laborious collection of sufficiently large datasets that can be used to calibrate optical probe signals to true metabolite concentrations. Further, most practitioners find it difficult to confidently adapt black box chemometric models that are difficult to troubleshoot in high-stakes applications such as biopharmaceutical manufacturing.
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