Chemical amplification is a known strategy for improving the sensitivity of stimuli-responsive polymers. However, the chemical amplification effect has never been fully examined. Many questions remain about its mechanism and efficacy, obstructing its further implementation. Here, we design and demonstrate a reactive oxygen species (ROS) responsive polymer (ROS-ARP) with a chemical amplification strategy to dismiss these concerns. The ROS-ARP is designed to change the hydrophilicity by ROS, revealing a carboxylic acid, which also catalyzes ketal hydrolysis along the polymer backbone. The chemical amplification strategy of ROS-ARP accelerated the polymer degradation up to 17 fold compared to a previously reported ROS-responsive polymer. To investigate the mechanism behind this increased acceleration, we compared the degradation kinetics in various environments. Additionally, other effects such as hydrophilicity changes were excluded. The accelerated degradation of ROS-ARP is evaluated as a potential drug delivery system, demonstrating on-demand cargo release from the formulated polymeric particles.
High speed volumetric optical microscopy is an important tool for observing rapid processes in living cells or for real-time tracking of sub-cellular components. However, the 3D imaging capability often comes at the price of a high technical complexity of the imaging system and/or the requirement of demanding image analysis. Here, we propose a combination of conventional phase-contrast imaging with a customized multi-plane beam-splitter for enabling simultaneous acquisition of images in eight different focal planes. Our method is technically straightforward and does not require complex post-processing image analysis. We apply our multi-plane phase-contrast microscope to the real-time observation of the fast motion of reactivated Chlamydomonas axonemes with sub-µm spatial and 4 ms temporal resolution. Our system allows us to observe not only bending but also the three-dimensional torsional dynamics of these micro-swimmers.
Unlike traditionally-mapped Raman imaging, stimulated Raman scattering (SRS) imaging achieved the capability of imaging metabolic dynamics and a greatly improved signal-noise-ratio. However, its spatial resolution is still limited by the numerical aperture or scattering cross-section. To achieve super-resolved SRS imaging, we developed a new deconvolution algorithm -Adam optimization-based Pointillism Deconvolution (A-PoD) -for SRS imaging, and demonstrated a spatial resolution of 52 nm on polystyrene beads. By applying A-PoD to spatially correlated multi-photon uorescence (MPF) imaging and deuterium oxide (D 2 O)-probed SRS (DO-SRS) imaging data from diverse samples, we compared nanoscopic distributions of proteins and lipids in cells and subcellular organelles. We successfully differentiated newly synthesized lipids in lipid droplets using A-PoD coupled with DO-SRS. The A-PoDenhanced DO-SRS imaging method was also applied to reveal the metabolic change in brain samples from Drosophila on different diets. This new approach allows us to quantitatively measure the nanoscopic co-localization of biomolecules and metabolic dynamics in organelles. We expect that the A-PoD algorithm will have a wide range of applications, from nano-scale measurements of biomolecules to processing astronomical images.
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