Evidence map›Paper›PMID 39651611›Full record

ArticleJournal of microscopy2026

A comparison of super-resolution microscopy techniques for imaging tightly packed microcolonies of an obligate intracellular bacterium.

Alison J North, Ved P Sharma, Christina Pyrgaki, John Lim S Y, Sharanjeet Atwal, Kittirat Saharat, Graham D Wright, Jeanne Salje

Abstract readComparative Study
In one paragraph

Article in Journal of microscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Alison J NorthBio-Imaging Resource Center, The Rockefeller University, New York, New York, USA.ORCID 0000-0002-0577-7949
Ved P SharmaBio-Imaging Resource Center, The Rockefeller University, New York, New York, USA.ORCID 0000-0001-9998-5070
Christina PyrgakiBio-Imaging Resource Center, The Rockefeller University, New York, New York, USA.ORCID 0000-0002-2681-3072
John Lim S YA*STAR Skin Research Labs (A*SRL), Agency for Science, Technology & Research (A*STAR), Singapore, Singapore.ORCID 0000-0001-9837-6644
Sharanjeet AtwalLonza, Walkersville, Maryland, USA.ORCID 0009-0001-4714-4269
Kittirat SaharatCambridge Institute for Medical Research, University of Cambridge, Cambridge, UK.ORCID 0000-0002-2693-3218
Graham D WrightResearch Support Centre (RSC), Agency for Science, Technology & Research (A*STAR), Singapore, Singapore.ORCID 0000-0003-2362-1312
Jeanne SaljeCambridge Institute for Medical Research, University of Cambridge, Cambridge, UK.ORCID 0000-0001-5802-4580

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Acquisition of a DeltaVision OMX SR 3D SIM system for super-resolution imagingS10RR031855 · NCRR · ROCKEFELLER UNIVERSITY · PI NORTH, ALISON JANE · 2011 to 2011
$600k
Metabolic quiescence and latent infection in Orientia tsutsugamushiR56AI148645 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI SALJE, JEANNE · 2020 to 2020
$471k
Arnold and Mabel Beckman Foundation AWD00000407National Research Foundation Singapore NRF2017-SISFP10NCI NIH HHS P30 CA008748NCRR NIH HHS S10 RR031855NCRR NIH HHS S10RR031855NIAID NIH HHS R56 AI148645NIH HHS R56AI148645Wellcome TrustWellcome Trust 224277/Z/21/Z
6 · The paper itself

Abstract

Conventional optical microscopy imaging of obligate intracellular bacteria is hampered by the small size of bacterial cells, tight clustering exhibited by some bacterial species and challenges relating to labelling such as background from host cells, a lack of validated reagents, and a lack of tools for genetic manipulation. In this study, we imaged intracellular bacteria from the species Orientia tsutsugamushi (Ot) using five different fluorescence microscopy techniques: standard confocal, Airyscan confocal, instant Structured Illumination Microscopy (iSIM), three-dimensional Structured Illumination Microscopy (3D-SIM) and Stimulated Emission Depletion Microscopy (STED). We compared the ability of each to resolve bacterial cells in intracellular clumps in the lateral (xy) axis, using full width half-maximum (FWHM) measurements of a labelled outer membrane protein (ScaA) and the ability to detect small, outer membrane vesicles external to the cells. Comparing the techniques readily available to us (above), 3D-SIM microscopy, in combination with the shortest-wavelength dyes, was found overall to give the best lateral resolution. We next compared the ability of each technique to sufficiently resolve bacteria in the axial (z) direction and found 3D-STED to be the most successful method for this. We then combined this 3D-STED approach with a custom 3D cell segmentation and analysis pipeline using the open-source, deep learning software, Cellpose to segment the cells and subsequently the commercial software Imaris to analyse their 3D shape and size. Using this combination, we demonstrated differences in bacterial shape, but not their size, when grown in different mammalian cell lines. Overall, we compare the advantages and disadvantages of different super-resolution microscopy techniques for imaging this cytoplasmic obligate intracellular bacterium based on the specific research question being addressed.

Indexed as

Orientia tsutsugamushiAnimalsHumansImaging, Three-DimensionalMicroscopy, ConfocalMicroscopy, Fluorescence3D cell segmentation3D‐SIMAiryscanconfocaldeep learningiSIMobligate intracellular bacteriaOrientia tsutsugamushiRickettsialesSTEDsuper‐resolution imaging

Identifiers

PMID39651611
PMCPMC12884446

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.