Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Imaging tissues and cells beyond the diffraction limit with structured illumination microscopy and Bayesian image reconstruction.

GigaScience | 2019

Structured illumination microscopy (SIM) is a family of methods in optical fluorescence microscopy that can achieve both optical sectioning and super-resolution effects. SIM is a valuable method for high-resolution imaging of fixed cells or tissues labeled with conventional fluorophores, as well as for imaging the dynamics of live cells expressing fluorescent protein constructs. In SIM, one acquires a set of images with shifting illumination patterns. This set of images is subsequently treated with image analysis algorithms to produce an image with reduced out-of-focus light (optical sectioning) and/or with improved resolution (super-resolution).

Pubmed ID: 30351383 RIS Download

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R15 GM128166

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


GigaDB (tool)

RRID:SCR_004002

Repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study. Through their association with DataCite, each dataset will be assigned a DOI that can be used as a standard citation for future use of these data in other articles by the authors and other researchers. Datasets in GigaDB all require a title that is specific to the dataset, an author list, and an abstract that provides information specific to the data included within the set. Detailed information about the data to be submitted is encouraged in ISA-Tab, a format used by the BioSharing and ISA Commons communities that they work with to maintain the highest data and metadata standards in their journal.

View all literature mentions

A-431 (cell line)

RRID:CVCL_0037

Cell line A-431 is a Cancer cell line with a species of origin Homo sapiens (Human)

View all literature mentions

Hep-G2 (cell line)

RRID:CVCL_0027

Cell line Hep-G2 is a Cancer cell line with a species of origin Homo sapiens (Human)

View all literature mentions

U2OS (cell line)

RRID:CVCL_0042

Cell line U2OS is a Cancer cell line with a species of origin Homo sapiens (Human)

View all literature mentions