Euglena gracilis (E. gracilis) has been proposed as one of the most attractive microalgae species for biodiesel and biomass production, which exhibits a number of shapes, such as spherical, spindle-shaped, and elongated. Shape is an important biomarker for E. gracilis, serving as an indicator of biological clock status, photosynthetic and respiratory capacity, cell-cycle phase, and environmental condition. The ability to prepare E. gracilis of uniform shape at high purities has significant implications for various applications in biological research and industrial processes. Here, we adopt a label-free, high-throughput, and continuous technique utilizing inertial microfluidics to separate E. gracilis by a key shape parameter-cell aspect ratio (AR). The microfluidic device consists of a straight rectangular microchannel, a gradually expanding region, and five outlets with fluidic resistors, allowing for inertial focusing and ordering, enhancement of the differences in cell lateral positions, and accurate separation, respectively. By making use of the shape-activated differences in lateral inertial focusing dynamic equilibrium positions, E. gracilis with different ARs ranging from 1 to 7 are directed to different outlets.

The ability to rapidly assay morphological and intracellular molecular variations within large heterogeneous populations of cells is essential for understanding and exploiting cellular heterogeneity. Optofluidic time-stretch microscopy is a powerful method for meeting this goal, as it enables high-throughput imaging flow cytometry for large-scale single-cell analysis of various cell types ranging from human blood to algae, enabling a unique class of biological, medical, pharmaceutical, and green energy applications. Here, we describe how to perform high-throughput imaging flow cytometry by optofluidic time-stretch microscopy. Specifically, this protocol provides step-by-step instructions on how to build an optical time-stretch microscope and a cell-focusing microfluidic device for optofluidic time-stretch microscopy, use it for high-throughput single-cell image acquisition with sub-micrometer resolution at >10,000 cells per s, conduct image construction and enhancement, perform image analysis for large-scale single-cell analysis, and use computational tools such as compressive sensing and machine learning for handling the cellular 'big data'. Assuming all components are readily available, a research team of three to four members with an intermediate level of experience with optics, electronics, microfluidics, digital signal processing, and sample preparation can complete this protocol in a time frame of 1 month.

Hydrogel droplets encapsulating cells and molecules provide a unique platform in biochemistry, biology, and medicine, including single-cell and single-molecule analysis, directed molecular evolution, and detection of cellular secretions. The ability to prepare hydrogel droplets with high monodispersity can lead to synchronization of populations, more controlled biomaterials, and more quantitative assays. Here, we present an inertial microfluidic device for passive, continuous, and high-throughput sorting of hydrogel droplets by size. The sorting is achieved due to size-dependent lateral inertial equilibrium positions: hydrogel droplets of different sizes have different equilibrium positions under the combined effects of shear-gradient lift and wall-effect lift forces. We apply this separation technique to isolate smaller hydrogel droplets containing microalgal colonies from larger empty droplets. We found that hydrogel droplets containing microalga Euglena gracilis (E. gracilis) shrink as cells grow and divide, while empty hydrogel droplets retain their size. Cell-laden hydrogel droplets were collected with up to 93.6% purity, and enrichment factor up to 5.51. After sorting, we were able to recover cells from hydrogel droplets without significantly affecting cell viability.

Microalgae are an attractive feedstock organism for sustainable production of biofuels, chemicals, and biomaterials, but the ability to rationally engineer microalgae to enhance production has been limited. To enable the evolution‐based selection of new hyperproducing variants of microalgae, a method is developed that combines phase‐transitioning monodisperse gelatin hydrogel droplets with commercial flow cytometric instruments for high‐throughput screening and selection of clonal populations of cells with desirable properties, such as high lipid productivity per time traced over multiple cell cycles. It is found that gelatin microgels enable i) the growth and metabolite (e.g., chlorophyll and lipids) production of single microalgal cells within the compartments, ii) infusion of fluorescent reporter molecules into the hydrogel matrices following a sol–gel transition, iii) selection of high‐producing clonal populations of cells using flow cytometry, and iv) cell recovery under mild conditions, enabling regrowth after sorting. This user‐friendly method is easily integratable into directed cellular evolution pipelines for strain improvement and can be adopted for other applications that require high‐throughput processing, e.g., cellular secretion phenotypes and intercellular interactions.