The Glimt platform

See cells talk

We’ve learned so much by studying cells. But what if we’ve only seen half the picture? With the Glimt platform, Moleculent introduces a new era of functional profiling, revealing how cells talk to shape the biology of health and disease.

The Glimt advantage

The bigger picture, down to the molecule

Functional measurements

Directly measure receptor–ligand engagement in tissue, rather than relying on indirect inference.

FFPE compatible

Optimized for FFPE tissue, making functional profiling applicable to a wide range of clinical samples.

End-to-end workflow

An integrated platform from tissue section to analyzed interaction data, designed for reproducible results.

Single-molecule resolution

Decode individual receptor–ligand interaction events at single-molecule resolution.

Industry-leading specificity

Dual-antibody recognition provides highly specific detection of molecular interactions.

Scalable to large studies

Automated processing enables consistent, reproducible measurements with minimal hands-on time.

Get to know the Glimt platform

Instrument

A new era of discovery, in your lab

The Glimt instrument brings functional profiling into your lab through a streamlined, automated workflow. With intuitive software and minimal hands-on time, it makes sophisticated molecular measurements easier to perform consistently and reproducibly.

The Glimt workflow

Step 01

Sample preparation

Moleculent’s proprietary proximity ligation assay (PLA) technology detects receptor–ligand engagement using pairs of oligo-conjugated antibodies. When the target molecules are in proximity, a detection molecule is formed and amplified using Moleculent’s chemistry. Protein-specific antibodies identify cell types, providing spatial context for understanding which cell populations are involved in each interaction.

Step 02

Automated cyclical imaging

The Glimt instrument decodes molecular signals through repeated cycles of fluorescent labeling, imaging and signal removal. Optimized for FFPE tissue, its automated workflow is designed to process two slides in parallel within 48 hours, measure tens to hundreds of interaction targets per sample, and deliver high reproducibility with minimal hands-on time.

Step 03

Functional profiling

The resulting data brings together three complementary layers of information: nuclei, cell types and receptor–ligand interactions. By combining these measurements in their original tissue context, functional profiling reveals where molecular engagement occurs, which cell populations are involved and how interactions are distributed across the tissue.

Panel

Mapping the language of cells

01 PD1 PD-L1

02 TIGIT CD112

03 TCRB MHCII

04 CD8 MHCI

05 PD1 PD-L2

06 CD30 CD30L

07 TIM3 HMGB1

08 TIGIT CD113

09 ICOS ICOSL

10 CTLA4 CD86

11 TIGIT CD155

12 CD47 SIRPα

13 CD48 2B4

14 TL1A DR3

15 MSLN MUC16

16 4-1BB 4-1BBL

17 CD28 CD80

18 FAS FASL

19 LAG3 MHCII

20 BTLA HVEM

21 OX40 OX40L

22 CD40 CD40L

23 NKG2A HLA-E

24 CD28 CD86

25 CD2 CD58

26 CD160 HVEM

27 CD24 Siglec-10

28 GAL3 LAG3

29 GITR GITRL

30 CD27 CD70

31 TIM3 GAL9

32 PSGL1 VISTA

33 CD112 PVRIG

34 CD226 CD112

35 CD96 CD155

36 CD226 CD155

37 CTLA4 CD80

Interactions

In the Glimt panel Being explored

01T cell CD4+

02T cell CD8+

03Tumor cell

04B cell

05Macrophage

06Dendritic cell

07Epithelial cell

08NK cell

09Endothelial cell

10Proliferating cell

11CAF

12T cell CD3+

13T reg

14Neutrophil

Cell types

The Glimt panel brings together key receptor–ligand interactions and cell-type markers, enabling direct measurement with unprecedented accuracy. See multiple interactions simultaneously, with exceptionally clear molecular signals and the cellular context needed to understand them. For the first time, a comprehensive functional picture of tissue biology comes into view.

This is only the beginning. We’re building towards a future where functional profiling spans every major human organ and biological pathway, opening new possibilities for understanding health and disease.

Data

Give curiosity a clearer view

Explore complex functional profiling data through a beautifully simple, interactive interface. Easily navigate samples, select the markers and interactions that matter to your research, and explore your results at your own pace. Everything is designed to put you in control, making it easier to focus on the questions that drive your discoveries.

See functional profiling in action

100 µm

CD20B cells CD3eT cells CD4Helper T cells HLADRAntigen-presenting cells PanCKEpithelial cells FOXP3Regulatory T cells NucleiAll cells

Immune regulation in lung cancer

Within a tertiary lymphoid structure (TLS) in lung cancer tissue, Glimt detects CTLA4::CD86 engagement alongside TCRB::MHCII interactions, both concentrated in the T-cell zone.

This reveals where an inhibitory checkpoint interaction occurs in relation to antigen recognition, rather than relying on protein expression alone. Their spatial distribution provides a new basis for investigating checkpoint regulation within TLS and comparing patterns of molecular engagement across tumors.

500 µm

CD8Cytotoxic T cells CD4Helper T cells CD3eT cells MLANATumor cells NucleiAll cells

Immune activity around melanoma

In this melanoma tissue, Glimt detects CD8a::MHCI, TCRB::MHCII, and CD70::CD27 interactions concentrated largely outside the MLANA-positive tumor mass, revealing molecular engagement at the tumor boundary rather than throughout the tumor.

This spatial pattern offers a new way to investigate why immune interactions may be abundant around a tumor yet limited within it, with implications for understanding resistance to immunotherapy.

Urothelial cancer beyond expression data

250 µm

CD4Helper T cells HLADRAntigen-presenting cells CD3eT cells PanCKEpithelial cells CD20B cells NucleiAll cells

Urothelial cancer beyond expression

Within two tertiary lymphoid structures (TLS) embedded in urothelial cancer tissue, Glimt detects PD1::PDL1 engagement alongside interactions associated with antigen recognition and T-cell costimulation.

Seeing where this inhibitory checkpoint interaction occurs provides information beyond PD-L1 expression alone, opening new possibilities for investigating how local checkpoint regulation differs across tumors and relates to immunotherapy response.