Search bioRxiv⌕ Search

Biology subjects

Loginov, S.

Publications and source records attributed to Loginov, S..

2 recordsLinked to original sources

Depth-dependent scaling of axial distances in light microscopy

In volume fluorescence microscopy, refractive index matching is essential to minimize aberrations. There are however, common imaging scenarios, where a refractive index mismatch (RIM) between immersion and sample medium cannot be avoided. This RIM leads to an axial deformation in the acquired image data. Over the years, different axial scaling factors have been proposed to correct for this deformation. While some reports have suggested a depth-dependent axial deformation, so far none of the scaling theories has accounted for a depth-dependent, non-linear scaling. Here, we derive an analytical theory based on determining the leading constructive interference band in the objective lens pupil under RIM. We then use this to calculate a depth-dependent re-scaling factor as a function of the numerical aperture (NA), the refractive indices n1 and n2, and the wavelength{lambda} . We compare our theoretical results with wave-optics calculations and experimental results obtained using a novel measurement scheme for different values of NA and RIM. As a benchmark, we recorded multiple datasets in different RIM conditions, and corrected these using our depth-dependent axial scaling theory. Finally, we present an online web applet that visualizes the depth-dependent axial re-scaling for specific optical setups. In addition, we provide software which will help microscopists to correctly re-scale the axial dimension in their imaging data when working under RIM.

biophysics↗

Correlative Organelle Microscopy: fluorescence guided volume electron microscopy of intracellular processes

Intracellular processes depend on a strict spatial and temporal organization of proteins and organelles. Directly linking molecular to nanoscale ultrastructural information is therefore crucial to understand cellular physiology. Volume or 3-dimensional (3D) correlative light and electron microscopy (volume-CLEM) holds unique potential to explore cellular physiology at high-resolution ultrastructural detail across cell volumes. Application of volume-CLEM is however hampered by limitations in throughput and 3D correlation efficiency. Addressing these limitations, we here describe a novel pipeline for volume-CLEM that provides high-precision (<100nm) registration between 3D fluorescence microscopy (FM) and 3D electron microscopy (EM) data sets with significantly increased throughput. Using multi-modal fiducial nanoparticles that remain fluorescent in epoxy resins and a 3D confocal fluorescence microscope integrated in a Focused Ion Beam Scanning Electron Microscope (FIB.SEM), our approach uses FM to target extremely small volumes of even single organelles for imaging in volume-EM, and obviates the need for post correlation of big 3D datasets. We extend our targeted volume-CLEM approach to include live-cell imaging, adding information on the motility of intracellular membranes selected for volume-CLEM. We demonstrate the power of our approach by targeted imaging of rare and transient contact sites between endoplasmic reticulum (ER) and lysosomes within hours rather than days. Our data suggest that extensive ER-lysosome and mitochondria-lysosome interactions restrict lysosome motility, highlighting the unique capabilities of our integrated CLEM pipeline for linking molecular dynamic data to high-resolution ultrastructural detail in 3D. SignificanceWe have developed a correlative imaging pipeline to (i) correlate 3D-FM to volume-EM data with high precision, directly bridging the FM and EM resolutions (ii) achieve high-throughput volume-CLEM by targeted EM imaging of a single organelle sized region-of-interest, pre-identified by FM (iii) link live-cell fluorescence imaging of cultured mammalian cells to high-throughput volume-CLEM (iv) quantitatively study structure-function relations at subcellular scale (v) link rare (e.g. membrane contact sites) and transient (e.g. organelle interactions) cellular events to 3D ultrastructure. The targeted volume-CLEM pipeline provides a unique prospect for multi-modal correlative intracellular analysis combining dynamic interaction (live-cell imaging), functional state (live-cell imaging), molecular localization (FM), and 3D-ultrastructure (FIB.SEM) at nanometer scale.

cell biology↗