Rapid-release reversible bonding of PMMA-based microfluidic devices with PBMA coating
In this study, a new approach is proposed for the reversible bonding of PMMA-based microfluidics, a layer of PBMA (with a very similar structure to PMMA) was coated on the surface of PMMA and then use the thermal fusion method to achieve the bonding with a high bonding strength, a tensile bonding strength of around 0.8 MPa was achieved. For debond process, a rapid temperature drop will trigger the immediate release of the bonding within several seconds. Detailed bonding strength measurement and biocompatibility tests were also conducted in this study. The proposed bonding method could have wide application potential in the...
Source: Biomedical Microdevices - December 23, 2023 Category: Biomedical Engineering Authors: Yusheng Li Fan Xu Jing Liu Qi Zhang Yiqiang Fan Source Type: research
Rapid-release reversible bonding of PMMA-based microfluidic devices with PBMA coating
In this study, a new approach is proposed for the reversible bonding of PMMA-based microfluidics, a layer of PBMA (with a very similar structure to PMMA) was coated on the surface of PMMA and then use the thermal fusion method to achieve the bonding with a high bonding strength, a tensile bonding strength of around 0.8 MPa was achieved. For debond process, a rapid temperature drop will trigger the immediate release of the bonding within several seconds. Detailed bonding strength measurement and biocompatibility tests were also conducted in this study. The proposed bonding method could have wide application potential in the...
Source: Biomedical Microdevices - December 23, 2023 Category: Biomedical Engineering Authors: Yusheng Li Fan Xu Jing Liu Qi Zhang Yiqiang Fan Source Type: research
Rapid-release reversible bonding of PMMA-based microfluidic devices with PBMA coating
In this study, a new approach is proposed for the reversible bonding of PMMA-based microfluidics, a layer of PBMA (with a very similar structure to PMMA) was coated on the surface of PMMA and then use the thermal fusion method to achieve the bonding with a high bonding strength, a tensile bonding strength of around 0.8 MPa was achieved. For debond process, a rapid temperature drop will trigger the immediate release of the bonding within several seconds. Detailed bonding strength measurement and biocompatibility tests were also conducted in this study. The proposed bonding method could have wide application potential in the...
Source: Biomedical Microdevices - December 23, 2023 Category: Biomedical Engineering Authors: Yusheng Li Fan Xu Jing Liu Qi Zhang Yiqiang Fan Source Type: research
Performance gain and electro-mechanical design optimization of microneedles for wearable sensor systems
Biomed Microdevices. 2023 Dec 14;26(1):4. doi: 10.1007/s10544-023-00683-x.ABSTRACTMinimally invasive microneedle (MN) is an emerging technology platform for wearable and implantable diagnostics and therapeutics systems. These short MNs offer pain-free insertion and simple operation. Among the MN technologies proposed to enhance interstitial fluid (ISF) extraction, porous and swellable (P-S) hydrogels absorb analyte molecules across the entire lateral surface. Currently, the design, development, and optimization of the MNs rely on empirical, iterative approaches. Based on theory of fluid flow and analyte diffusion through g...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Marco Fratus Muhammad Ashraful Alam Source Type: research
Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition
Biomed Microdevices. 2023 Dec 14;26(1):5. doi: 10.1007/s10544-023-00688-6.ABSTRACTFlow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed betwe...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Peter Johannes Tejlgaard Kampen Gustav Ragnar St øttrup-Als Nicklas Bruun-Andersen Joachim Secher Freja H øier Anne Todsen Hansen Morten Hanefeld Dziegiel Anders Nymark Christensen Kirstine Berg-S ørensen Source Type: research
Performance gain and electro-mechanical design optimization of microneedles for wearable sensor systems
Biomed Microdevices. 2023 Dec 14;26(1):4. doi: 10.1007/s10544-023-00683-x.ABSTRACTMinimally invasive microneedle (MN) is an emerging technology platform for wearable and implantable diagnostics and therapeutics systems. These short MNs offer pain-free insertion and simple operation. Among the MN technologies proposed to enhance interstitial fluid (ISF) extraction, porous and swellable (P-S) hydrogels absorb analyte molecules across the entire lateral surface. Currently, the design, development, and optimization of the MNs rely on empirical, iterative approaches. Based on theory of fluid flow and analyte diffusion through g...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Marco Fratus Muhammad Ashraful Alam Source Type: research
Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition
Biomed Microdevices. 2023 Dec 14;26(1):5. doi: 10.1007/s10544-023-00688-6.ABSTRACTFlow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed betwe...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Peter Johannes Tejlgaard Kampen Gustav Ragnar St øttrup-Als Nicklas Bruun-Andersen Joachim Secher Freja H øier Anne Todsen Hansen Morten Hanefeld Dziegiel Anders Nymark Christensen Kirstine Berg-S ørensen Source Type: research
Performance gain and electro-mechanical design optimization of microneedles for wearable sensor systems
Biomed Microdevices. 2023 Dec 14;26(1):4. doi: 10.1007/s10544-023-00683-x.ABSTRACTMinimally invasive microneedle (MN) is an emerging technology platform for wearable and implantable diagnostics and therapeutics systems. These short MNs offer pain-free insertion and simple operation. Among the MN technologies proposed to enhance interstitial fluid (ISF) extraction, porous and swellable (P-S) hydrogels absorb analyte molecules across the entire lateral surface. Currently, the design, development, and optimization of the MNs rely on empirical, iterative approaches. Based on theory of fluid flow and analyte diffusion through g...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Marco Fratus Muhammad Ashraful Alam Source Type: research
Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition
Biomed Microdevices. 2023 Dec 14;26(1):5. doi: 10.1007/s10544-023-00688-6.ABSTRACTFlow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed betwe...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Peter Johannes Tejlgaard Kampen Gustav Ragnar St øttrup-Als Nicklas Bruun-Andersen Joachim Secher Freja H øier Anne Todsen Hansen Morten Hanefeld Dziegiel Anders Nymark Christensen Kirstine Berg-S ørensen Source Type: research
Performance gain and electro-mechanical design optimization of microneedles for wearable sensor systems
Biomed Microdevices. 2023 Dec 14;26(1):4. doi: 10.1007/s10544-023-00683-x.ABSTRACTMinimally invasive microneedle (MN) is an emerging technology platform for wearable and implantable diagnostics and therapeutics systems. These short MNs offer pain-free insertion and simple operation. Among the MN technologies proposed to enhance interstitial fluid (ISF) extraction, porous and swellable (P-S) hydrogels absorb analyte molecules across the entire lateral surface. Currently, the design, development, and optimization of the MNs rely on empirical, iterative approaches. Based on theory of fluid flow and analyte diffusion through g...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Marco Fratus Muhammad Ashraful Alam Source Type: research
Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition
Biomed Microdevices. 2023 Dec 14;26(1):5. doi: 10.1007/s10544-023-00688-6.ABSTRACTFlow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed betwe...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Peter Johannes Tejlgaard Kampen Gustav Ragnar St øttrup-Als Nicklas Bruun-Andersen Joachim Secher Freja H øier Anne Todsen Hansen Morten Hanefeld Dziegiel Anders Nymark Christensen Kirstine Berg-S ørensen Source Type: research
Performance gain and electro-mechanical design optimization of microneedles for wearable sensor systems
Biomed Microdevices. 2023 Dec 14;26(1):4. doi: 10.1007/s10544-023-00683-x.ABSTRACTMinimally invasive microneedle (MN) is an emerging technology platform for wearable and implantable diagnostics and therapeutics systems. These short MNs offer pain-free insertion and simple operation. Among the MN technologies proposed to enhance interstitial fluid (ISF) extraction, porous and swellable (P-S) hydrogels absorb analyte molecules across the entire lateral surface. Currently, the design, development, and optimization of the MNs rely on empirical, iterative approaches. Based on theory of fluid flow and analyte diffusion through g...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Marco Fratus Muhammad Ashraful Alam Source Type: research
Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition
Biomed Microdevices. 2023 Dec 14;26(1):5. doi: 10.1007/s10544-023-00688-6.ABSTRACTFlow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed betwe...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Peter Johannes Tejlgaard Kampen Gustav Ragnar St øttrup-Als Nicklas Bruun-Andersen Joachim Secher Freja H øier Anne Todsen Hansen Morten Hanefeld Dziegiel Anders Nymark Christensen Kirstine Berg-S ørensen Source Type: research
Performance gain and electro-mechanical design optimization of microneedles for wearable sensor systems
Biomed Microdevices. 2023 Dec 14;26(1):4. doi: 10.1007/s10544-023-00683-x.ABSTRACTMinimally invasive microneedle (MN) is an emerging technology platform for wearable and implantable diagnostics and therapeutics systems. These short MNs offer pain-free insertion and simple operation. Among the MN technologies proposed to enhance interstitial fluid (ISF) extraction, porous and swellable (P-S) hydrogels absorb analyte molecules across the entire lateral surface. Currently, the design, development, and optimization of the MNs rely on empirical, iterative approaches. Based on theory of fluid flow and analyte diffusion through g...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Marco Fratus Muhammad Ashraful Alam Source Type: research
Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition
Biomed Microdevices. 2023 Dec 14;26(1):5. doi: 10.1007/s10544-023-00688-6.ABSTRACTFlow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed betwe...
Source: Biomedical Microdevices - December 14, 2023 Category: Biomedical Engineering Authors: Peter Johannes Tejlgaard Kampen Gustav Ragnar St øttrup-Als Nicklas Bruun-Andersen Joachim Secher Freja H øier Anne Todsen Hansen Morten Hanefeld Dziegiel Anders Nymark Christensen Kirstine Berg-S ørensen Source Type: research