# Label-free TIMING: an efficient, reliable and scalable AI workflow for automated profiling of cell-cell interaction behaviors in nanowell arrays

**Authors:** Anuj S. Todkar, Shyam Reddy Kotha, Lin Bai, Saikiran Mandula, Hannah B. Wilson, Daniel D. Meyer, Rebecca Berdeaux, Badrinath Roysam, Navin Varadarajan

PMC · DOI: 10.3389/fbinf.2026.1711797 · Frontiers in Bioinformatics · 2026-02-12

## TL;DR

This paper introduces a new AI-based method for analyzing cell interactions without using fluorescent labels, making the process more efficient and versatile.

## Contribution

The novel contribution is a label-free TIMING workflow using AI that matches fluorescence-based accuracy while reducing phototoxicity and artifacts.

## Key findings

- Label-free TIMING achieves comparable accuracy to fluorescence-based methods in analyzing cell interactions.
- The method reduces phototoxicity and allows longer live-cell imaging without fluorescent labels.
- It enables profiling of patient-derived cells without labeling and frees fluorescence channels for other studies.

## Abstract

Time-lapse imaging microscopy in nanowell grids (TIMING) is an integrated method for dynamic profiling of live immune–target cell interactions at single-cell resolution with broad applications and impact in immunology, immunotherapy and infectious diseases. Notwithstanding these applications, the current TIMING workflows necessitate fluorescent labeling of cells for automated image analysis operations including cell classification, segmentation, and tracking. Leveraging advances in computer vision methods for label-free phase contrast time-lapse microscopy and constraints specific to TIMING, especially spatial confinement of interacting cell cohorts in an array of nanoliter-capacity wells (nanowells); and temporal consistency, we show that TIMING analysis can now be performed in a fully label-free manner, with an accuracy comparable to the fluorescence-based TIMING. The proposed label-free TIMING (LF-TIMING) method offers reduced cellular phototoxicity and fluorescence photobleaching, reduced dye-induced artifacts that can interfere with physiological accuracy and enhanced live-cell imaging duration by eliminating reliance on fluorescent labels. Importantly, it expands the versatility of TIMING by enabling direct profiling of precious patient derived cells without the need for labeling while also freeing up fluorescence channels for investigating experimental structural or functional reporters, thus extending the molecular/subcellular features that can be profiled.

## Full-text entities

- **Genes:** CXADRP1 (CXADR pseudogene 1) [NCBI Gene 653108] {aka CAR, CXADRP}, ANXA5 (annexin A5) [NCBI Gene 308] {aka ANX5, CPB-I, ENX2, HEL-S-7, PP4, RPRGL3}, CD19 (CD19 molecule) [NCBI Gene 607898], Anxa5 (annexin A5) [NCBI Gene 11747] {aka Anx5, CPB-I}
- **Diseases:** DM (MESH:D009223), cancer (MESH:D009369), phototoxicity (MESH:D017484), Death (MESH:D003643), cytotoxicity (MESH:D064420), infectious diseases (MESH:D003141)
- **Chemicals:** Alexa Fluor 647 (MESH:C569686), IoU (-), PKH 26 (MESH:C070080), phosphatidylserine (MESH:D010718), PKH 67 (MESH:C451241), CO2 (MESH:D002245)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** NALM6 — Homo sapiens (Human), Adult B acute lymphoblastic leukemia, Cancer cell line (CVCL_0092)

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12935997/full.md

## References

47 references — full list in the complete paper: https://tomesphere.com/paper/PMC12935997/full.md

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Source: https://tomesphere.com/paper/PMC12935997