Fluorescence microscopy is rapidly turning into nanoscopy. Among the various nanoscopy methods, the STED/RESOLFT super-resolution family has recently been expanded to image even large fields of view within a few seconds. This advance relies on using light patterns featuring substantial arrays of intensity minima for discerning features by switching their fluorophores between 'on' and 'off' states of fluorescence. Here we show that splitting the light with a grating and recombining it in the focal plane of the objective lens renders arrays of minima with wavelength-independent periodicity. This colour-independent creation of periodic patterns facilitates coaligned on- and off-switching and readout with combinations chosen from a range of wavelengths. Applying up to three such periodic patterns on the switchable fluorescent proteins Dreiklang and rsCherryRev1.4, we demonstrate highly parallelized, multicolour RESOLFT nanoscopy in living cells for ~100 × 100 μm fields of view. Individual keratin filaments were rendered at a FWHM of ~60-80 nm, with effective resolution for the filaments of ~80-100 nm. We discuss the impact of novel image reconstruction algorithms featuring background elimination by spatial bandpass filtering, as well as strategies that incorporate complete image formation models.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357911PMC
http://dx.doi.org/10.1038/srep44619DOI Listing

Publication Analysis

Top Keywords

image reconstruction
8
resolft nanoscopy
8
fields view
8
periodic patterns
8
achromatic light
4
light patterning
4
patterning improved
4
image
4
improved image
4
reconstruction parallelized
4

Similar Publications

Background: Bilateral risk-reducing mastectomies (RRMs) have been proven to decrease the risk of breast cancer in patients at high risk owing to family history or having pathogenic genetic mutations. However, few resources with consolidated data have detailed the patient experience following surgery. This systematic review features patient-reported outcomes for patients with no breast cancer history in the year after their bilateral RRM.

View Article and Find Full Text PDF

PET has become an important clinical modality but is limited to imaging positron emitters. Recently, PET imaging withZr, which has a half-life of 3 days, has attracted much attention in immuno-PET to visualize immune cells and cancer cells by targeting specific antibodies on the cell surface. However,Zr emits a single gamma ray at 909 keV four times more frequently than positrons, causing image quality degradation in conventional PET.

View Article and Find Full Text PDF

The feasibility of the adult age estimation 3D-CBCT method on ancient human remains.

J Forensic Odontostomatol

December 2024

Laboratory of Personal Identification and Forensic Morphology, Department of Health Sciences, University of Florence, Florence, Italy.

The age estimation of skeletal remains still represents a central issue not only for the reconstruction of the so-called "biological profile," but mostly for the palaeodemographic investigation. This research aims at verifying the feasibility of the adult age estimation method developed on living people by Pinchi et al. (2015 and 2018), for estimating the age at the death of 37 subjects from ancient populations found in two different Italian necropolis of archaeological interest (Mont'e Prama and Florence, X-IX century B.

View Article and Find Full Text PDF

Objectives: The study aims to evaluate the pulp-to-tooth area ratio in permanent maxillary central incisors, lateral incisors, and canines for age estimation using three-dimensional cone beam computed tomography images.

Methods: Hundred cone-beam computed tomography (CBCT) images of patients aged between 12-70 years were retrospectively studied using NNT Viewer software version 13. Pulpal and teeth area were evaluated with the "area tool" in the acquired images in all three planes, and the pulp-to-tooth area ratio (PTR) was calculated with the measurements obtained.

View Article and Find Full Text PDF

Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!