ArticleScience advances2025
Optical tweeze-sectioning microscopy for 3D imaging and manipulation of suspended cells.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Helical opto-thermoviscous flows drive out-of-plane rotation and particle spinning in a highly viscous micro-environment.Light, science & applications · 2026Article
- Scalable generalized meta-spanners enabling parallel multitasking optical manipulation.Science advances · 2026Article
- Tunable photon-recoil forces and negative torque at flat-top beam edges.Nature communications · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optical manipulation and detection of biological particulates are crucial procedures in biophotonics. Optical sectioning (OS) opens the avenue to three-dimensional (3D) microscopy, but nonoptical approaches, including sample adhesion and mechanical scanning, have always been required in this technique, rendering it impossible to image suspended cells. Here, we develop optical tweeze-sectioning microscopy by coupling structured illumination microscopy (SIM) with holographic optical tweezers (HOTs). By sculpting light in HOTs, we demonstrate that the position fluctuations of suspended yeast cells can be optically squeezed to tens of nanometers, which is sufficient for the implementation of OS with SIM. Sample scanning is achieved through optical delivery of the cells, instead of translation stages as in the conventional way. Our work presents an all-optical solution for OS, broadening its application to nonadherent, suspended cells. It further furnishes the original technique that enables both SIM-based 3D imaging and optical manipulation.
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Registered trials
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.