Organ-, body- and disease-on-a-chip systems

Lab on a Chip ◽  
2017 ◽  
Vol 17 (14) ◽  
pp. 2345-2346 ◽  
Author(s):  
Michael L. Shuler
Keyword(s):  
Lab On A Chip ◽  
Thought Leader

Thought leader Michael Shuler introduces the Lab on a Chip organ, body and disease on a chip thematic collection.

Advances in organ-, body-, and disease-on-a-chip systems

Lab on a Chip ◽  
2019 ◽  
Vol 19 (1) ◽  
pp. 9-10 ◽  
Author(s):  
Michael L. Shuler
Keyword(s):  
Lab On A Chip ◽  
Thought Leader

Thought leader Michael Shuler provides an update on the Lab on a Chip organ-, body- and disease- on-a-chip thematic collection.

Organ-on-a-chip systems: translating concept into practice

Lab on a Chip ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 3072-3073
Author(s):  
Michael L. Shuler
Keyword(s):  
Lab On A Chip ◽  
Thought Leader ◽  
Organ On A Chip

Thought leader Michael Shuler provides an update on the Lab on a Chip thematic collection organ-on-a-chip systems: translating concept into practice.

Framing technology challenges associated with improving cancer immunotherapies

Lab on a Chip ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 3366-3367
Author(s):  
James R. Heath
Keyword(s):  
Lab On A Chip ◽  
Thought Leader ◽  
Cancer Immunotherapies

Thought leader Jim Heath introduces the Lab on a Chip Immunotherapy thematic collection.

Perspective on droplet-based single-cell sequencing

Lab on a Chip ◽  
2017 ◽  
Vol 17 (15) ◽  
pp. 2539-2539 ◽  
Author(s):  
David A. Weitz
Keyword(s):  
Single Cell ◽  
Lab On A Chip ◽  
Single Cell Sequencing ◽  
Thought Leader

Thought leader David Weitz introduces the Lab on a Chip droplet-based single-cell sequencing thematic collection.

scholarly journals Droplet Merging on a Lab-on-a-Chip Platform by Uniform Magnetic Fields

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
V. B. Varma ◽  
A. Ray ◽  
Z. M. Wang ◽  
Z. P. Wang ◽  
R. V. Ramanujan
Keyword(s):  
Magnetic Fields ◽  
Lab On A Chip ◽  
Droplet Merging

scholarly journals Microfluidic Network Simulations Enable On-Demand Prediction of Control Parameters for Operating Lab-On-A-Chip-Devices

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1320
Author(s):  
Julia Sophie Böke ◽  
Daniel Kraus ◽  
Thomas Henkel
Keyword(s):  
Fluid Management ◽  
Lab On A Chip ◽  
Microfluidic System ◽  
Flow Rates ◽  
Demand Prediction ◽  
Fast Running ◽  
Microfluidic Network ◽  
Fluid Properties ◽  
Network Simulations ◽  
User Friendly

Reliable operation of lab-on-a-chip systems depends on user-friendly, precise, and predictable fluid management tailored to particular sub-tasks of the microfluidic process protocol and their required sample fluids. Pressure-driven flow control, where the sample fluids are delivered to the chip from pressurized feed vessels, simplifies the fluid management even for multiple fluids. The achieved flow rates depend on the pressure settings, fluid properties, and pressure-throughput characteristics of the complete microfluidic system composed of the chip and the interconnecting tubing. The prediction of the required pressure settings for achieving given flow rates simplifies the control tasks and enables opportunities for automation. In our work, we utilize a fast-running, Kirchhoff-based microfluidic network simulation that solves the complete microfluidic system for in-line prediction of the required pressure settings within less than 200 ms. The appropriateness of and benefits from this approach are demonstrated as exemplary for creating multi-component laminar co-flow and the creation of droplets with variable composition. Image-based methods were combined with chemometric approaches for the readout and correlation of the created multi-component flow patterns with the predictions obtained from the solver.

scholarly journals 3D printed microfluidic lab-on-a-chip device for fiber-based dual beam optical manipulation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Haoran Wang ◽  
Anton Enders ◽  
John-Alexander Preuss ◽  
Janina Bahnemann ◽  
Alexander Heisterkamp ◽  
...  
Keyword(s):  
Optical Fibers ◽  
Single Cells ◽  
Lab On A Chip ◽  
Cost Effective ◽  
Optical Manipulation ◽  
Hydrodynamic Focusing ◽  
Trapping Region ◽  
Dual Beam ◽  
3D Printed ◽  
On Chip

Abstract3D printing of microfluidic lab-on-a-chip devices enables rapid prototyping of robust and complex structures. In this work, we designed and fabricated a 3D printed lab-on-a-chip device for fiber-based dual beam optical manipulation. The final 3D printed chip offers three key features, such as (1) an optimized fiber channel design for precise alignment of optical fibers, (2) an optically clear window to visualize the trapping region, and (3) a sample channel which facilitates hydrodynamic focusing of samples. A square zig–zag structure incorporated in the sample channel increases the number of particles at the trapping site and focuses the cells and particles during experiments when operating the chip at low Reynolds number. To evaluate the performance of the device for optical manipulation, we implemented on-chip, fiber-based optical trapping of different-sized microscopic particles and performed trap stiffness measurements. In addition, optical stretching of MCF-7 cells was successfully accomplished for the purpose of studying the effects of a cytochalasin metabolite, pyrichalasin H, on cell elasticity. We observed distinct changes in the deformability of single cells treated with pyrichalasin H compared to untreated cells. These results demonstrate that 3D printed microfluidic lab-on-a-chip devices offer a cost-effective and customizable platform for applications in optical manipulation.

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