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Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

Electron Microscope Tomography and Single-particle Reconstruction

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Related Experiment Video

Updated: Jun 10, 2026

Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas

Intracranial Implantation with Subsequent 3D In Vivo Bioluminescent Imaging of Murine Gliomas

Published on: November 6, 2011

Fast source reconstruction for bioluminescence tomography based on sparse regularization.

Jingjing Yu¹, Fang Liu, Jiao Wu

¹School of Computer Science and Technology and the Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an 710071, China. yujj@snnu.edu.cn

IEEE Transactions on Bio-Medical Engineering

|July 20, 2010

Summary

This summary is machine-generated.

Bioluminescence tomography (BLT) is improved using a novel LASSO-based algorithm. This method accurately locates light sources in 3D, even with noisy data, offering computational efficiency without needing predefined source regions.

Failed At:

2026-06-19T13:43:00.558075+00:00

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