Résumé
LLSM Dataset for Virtual and Augmented Reality. This dataset includes data generated by Lattice Light Sheet Microscopy. Image metadata is described in the file: FilesDescription_LLSM_Datasets_VR_AR.xlsx. This dataset includes: Rab5(early endosomes), Plasma Membrane CellMask (endosomal pathway) and CD63-Turquoise.2 (late-multivesicular endosomes). Lattice light-sheet microscopy. LLSM was done on a commercialized version of a previously described setup4 from 3i (Denver, USA). Cells were scanned incrementally through a 20 μm long light sheet in 500 nm steps using a fast piezoelectric flexure stage equivalent to ∼271 nm or 600 nm steps using a fast piezoelectric flexure stage equivalent to ∼325 nm, with respect to the detection objective and were imaged using a sCMOS camera (Orca-Flash 4.0; Hamamatsu, Bridgewater, NJ). Excitation was achieved with 488- (Coherent, Santa Clara, CA), 560- or 642-nm diode lasers (MPB Communications, Canada) through an excitation objective (Special Optics 28.6× 0.7 NA 3.74-mm water-dipping lens) and detected via a Nikon CFI Apo LWD 25× 1.1 NA water-dipping objective with a 2.5× tube lens with a final pixel size of 104 nm. Lattice light-sheet imaging was performed using an excitation pattern of outer NA equal to 0.55 and inner NA equal to 0.493. Acquired data were deskewed, a necessary step to realigned image frames, then deconvolved using LLSpy (https://github.com/tlambert03/LLSpy).