LLSM Dataset for Virtual and Augmented reality

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).