Nearing 30 years since its introduction, 3D printing technology is set to revolutionize research and teaching laboratories. This feature encompasses the history of 3D printing, reviews various printing methods, and presents current applications. The authors offer an appraisal of the future direction and impact this technology will have on laboratory settings as 3D printers become more accessible.

A mini-review with 79 references. In this review, the most recent trends in 3D-printed microfluidic devices are discussed. In addition, a focus is given to the fabrication aspects of these devices, with the supplemental information containing detailed instructions for designing a variety of structures including: a microfluidic channel, threads to accommodate commercial fluidic fittings, a flow splitter; a well plate, a mold for PDMS channel casting; and how to combine multiple designs into a single device. The advantages and limitations of 3D-printed microfluidic devices are thoroughly discussed, as are some future directions for the field.

In this paper, we explore the role of Instance Normalization in low-level vision tasks. Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks. Based on HIN Block, we design a simple and powerful multi-stage network named HINet, which consists of two subnetworks. With the help of HIN Block, HINet surpasses the state-of-the-art (SOTA) on various image restoration tasks. For image denoising, we exceed it 0.11dB and 0.28 dB in PSNR on SIDD dataset, with only 7.5% and 30% of its multiplier-accumulator operations (MACs), 6.8× and 2.9× speedup respectively. For image deblurring, we get comparable performance with 22.5% of its MACs and 3.3× speedup on REDS and GoPro datasets. For image deraining, we exceed it by 0.3 dB in PSNR on the average result of multiple datasets with 1.4× speedup. With HINet, we won the 1st place on the NTIRE 2021 Image Deblurring Challenge -Track2. JPEG Artifacts, with a PSNR of 29.70. The code is available at https://github.com/megviimodel/HINet.

A fluidic device constructed with a 3D-printer can be used to investigate stored blood components with subsequent high-throughput calibration and readout with a standard plate reader.

We present an insert-based approach to fabricate scalable and multiplexable microfluidic devices for 3D cell culture and integration with downstream detection modules. Laser-cut inserts with a layer of electrospun fibers are used as a scaffold for 3D cell culture, with the inserts being easily assembled in a 3D-printed fluidic device for flow-based studies. With this approach, the number and types of cells (on the inserts) in one fluidic device can be customized. Moreover, after an investigation (i.e., stimulation) under flowing conditions, the cell-laden inserts can be removed easily for subsequent studies including imaging and cell lysis. In this paper, we first discuss the fabrication of the device and characterization of the fibrous inserts. Two device designs containing two (channel width = 260 μm) and four (channel width = 180 μm) inserts, respectively, were used for different experiments in this study. Cell adhesion on the inserts with flowing media through the device was tested by culturing endothelial cells. Macrophages were cultured and stimulated under different conditions, the results of which indicate that the fibrous scaffolds under flow conditions result in dramatic effects on the amount and kinetics of TNF-α production (after LPS stimulation). Finally, we show that the cell module can be integrated with a downstream absorbance detection scheme. Overall, this technology represents a new and versatile way to culture cells in a more in vivo fashion for in vitro studies with online detection modules. Graphical abstract This paper describes an insert-based microfluidic device for 3D cell culture that can be easily scaled, multiplexed, and integrated with downstream analytical modules.

People with type 1 diabetes (T1D) must administer insulin exogenously due to the destruction of their pancreatic β-cells. Endogenous insulin is stored in β-cell granules along with C-peptide, a 31 amino acid peptide that is secreted from these granules in amounts equal to insulin. Exogenous co-administration of C-peptide with insulin has proven to reduce diabetes-associated complications in animals and humans. The exact mechanism of C-peptide's beneficial effects after secretion from the β-cell granules is not completely understood, thus hindering its development as an exogenously administered hormone. Monitoring tissue-to-tissue communication using a 3D-printed microfluidic device revealed that zinc and C-peptide are being delivered to erythrocytes by albumin. Upon delivery, erythrocyte-derived ATP increased by >50%, as did endothelium-derived NO, which was measured downstream in the 3D-printed device. Our results suggest that hormone replacement therapy in diabetes may be improved by exogenous administration of a C-peptide ensemble that includes zinc and albumin.

Integrating ECM materials in microfluidics for 3D cell culture.

Electrospinning has been widely accepted for several decades by the tissue engineering and regenerative medicine community as a technique for nanofiber production. Owing to the inherent flexibility of the electrospinning process, a number of techniques can be easily implemented to control fiber deposition (i.e. electric/magnetic field manipulation, use of alternating current, or air-based fiber focusing) and/or porosity (i.e. air impedance, sacrificial porogen/sacrificial fiber incorporation, cryo-electrospinning, or alternative techniques). The purpose of this review is to highlight some of the recent work using these techniques to create electrospun scaffolds appropriate for mimicking the structure of the native extracellular matrix, and to enhance the applicability of advanced electrospinning techniques in the field of tissue engineering.