bioRxiv Science⌕ Search

Biology subjects

Power, R. M.

Publications and source records attributed to Power, R. M..

3 recordsLinked to original sources

Automated 3D multi-color single-molecule localization microscopy

Since its inception, single molecule localization microscopy (SMLM) has enabled imaging scientists to visualize biological structures with unprecedented resolution. Particularly powerful implementations capable of 3D, multi-color and high-throughput imaging have yielded key biological insights although widespread access to such technologies has been limited. The purpose of this protocol is to provide a guide for interested researchers to establish high-end SMLM in their laboratories. We detail the initial configuration and subsequent assembly of the SMLM, including instructions for alignment of all optical pathways, software/hardware integration and operation of the instrument. We describe validation steps including the preparation and imaging of test- and biological samples with structures of well-defined geometry and assist the user in troubleshooting and benchmarking performance. Additionally, we provide a walkthrough of the reconstruction of a super-resolved dataset from acquired raw images using the Super-resolution Microscopy Analysis Platform (SMAP). Depending on the instrument configuration, the cost of components is in the range $80,000 - 160,000, a fraction of the cost of a commercial instrument. A builder with some experience of optical systems is expected to require 3 - 6 months from the start of system construction to attain high-quality 3D and multi-color biological images.

biophysics↗

Image restoration of degraded time-lapse microscopy data mediated by infrared-imaging.

Time-lapse fluorescence microscopy is key to unraveling the processes underpinning biological development and function. However, living systems, by their nature, permit only a limited toolbox for interrogation. Consequently, following time-lapses, expended samples contain untapped information that is typically discarded. Herein we employ convolutional neural networks (CNNs) to augment the live imaging data using this complementary information. In particular, live, deep tissue imaging is limited by the spectral range of live-cell compatible probes/fluorescent proteins. We demonstrate that CNNs may be used to restore deep-tissue contrast in GFP-based time-lapse imaging using paired final-state datasets acquired using infrared dyes and improve information content accordingly. Surprisingly, the networks are remarkably robust over a wide range of developmental times. We employ said network to GFP time-lapse images captured during zebrafish and drosophila embryo/larval development and demonstrate live, deep tissue image contrast.

developmental biology↗

An oblique plane microscope for mesoscopic imaging of freely moving organisms with cellular resolution

Several important questions in biology require non-invasive and three-dimensional imaging techniques with appropriate spatiotemporal resolution that permit live organisms to move in an unconstrained fashion over an extended field-of-view. While selective-plane illumination microscopy (SPIM) has emerged as a powerful method to observe live biological specimens at high spatio-temporal resolution, typical implementations often necessitate constraining sample mounting or lack the required volumetric speed. Here, we report on an open-top, dual-objective oblique plane microscope (OPM) capable of observing millimeter sized, freely moving animals at cellular resolution. We demonstrate the capabilities of our mesoscopic OPM (MesOPM) by imaging the behavioural dynamics of the sea anemone Nematostella vectensis over 1.56 x 1.56 x 0.25 mm at 1.5 x 2.8 x 5.3{micro}m resolution and 0.5Hz volume rate.

bioengineering↗