Publications

Peer-reviewed articles published using Cytely.

Characterization of white adipocyte heterogeneity using data-driven microscopy

Using Cytely's data-driven microscopy platform, researchers profiled hundreds of individual human fat cells and found that many co-express high levels of the subtype markers DDR2 and PLIN1 alongside consistent GLUT4 levels, evidence for distinct mature adipocyte subtypes and a scalable way to validate single-cell heterogeneity first identified by transcriptomics.

Zhang J, Simonsson C, Fawad A, Alsalim W, Vaag A, Neuhaus M, Stenkula KG

Int J Obes (Lond). 2026 Jul 8. doi: 10.1038/s41366-026-02151-x.

42420601

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PQBP1 couples HIV-1 capsid recognition to cGAS recruitment through conformational remodeling

Innate immune detection of HIV-1 starts when PQBP1 recognizes the incoming viral capsid. This preprint shows that capsid engagement remodels the intrinsically disordered PQBP1 into a cGAS-competent conformation, and maps the distinct regions responsible for capsid binding versus cGAS recruitment. Cell identification and per-cell quantification of cGAS-PQBP1 proximity ligation puncta were performed with Cytely AI image analysis.

Allen DS, Manna A, Beusch CM, Zhang T, Ganser-Pornillos BK, Piacentini J, Oh S, Prabhu S, Mehta A, Gordon D, Pornillos O, Yoh SM, Chanda SK

bioRxiv. 2026 Jul 7;2026.07.07.737097 (v2 posted Jul 31, 2026). doi: 10.64898/2026.07.07.737097.

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Hematology as a Tool for Wildlife Health, Research and Conservation

A book chapter on how hematological reference values underpin wildlife health assessment, conservation biology and evidence-based management. It reviews the methodological and biological challenges of establishing reference intervals in free-ranging species, and points to AI-based image analysis platforms such as Cytely as a route to automated, reproducible cell-level measurements from blood smears without custom programming.

Morón-Elorza P, Fuertes-Recuero M, de Pablo-Moreno JA, David H, Encinas T

In: Wildlife Management — Perspectives from Ecology and Conservation Biology. IntechOpen; 2026 Jun 30. doi: 10.5772/intechopen.1015060.

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Smart microscopy: current implementations and a roadmap for interoperability

A community review mapping the current landscape of smart microscopy, systems that automate imaging and adapt in real time to image-based feedback, and proposing a roadmap toward interoperability across a fragmented ecosystem of academic and commercial implementations.

Hinderling L, Heil HS, Rates A, et al.

Methods Microsc. 2026 Feb 23;3(1):71–91. doi: 10.1515/mim-2025-0029.

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Data-driven microscopy allows for automated context-specific acquisition of high-fidelity image data

Data-driven microscopy (DDM) introduces a feedback loop between image analysis and acquisition, letting the microscope automatically target the most informative cells and capture high-fidelity, context-specific image data.

Visual abstract for Data-driven microscopy allows for automated context-specific acquisition of high-fidelity image data

André O, Kumra Ahnlide J, Norlin N, Swaminathan V, Nordenfelt P

Cell Rep Methods. 2023 Mar 6;3(3):100419. doi: 10.1016/j.crmeth.2023.100419.

PMC10088093

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