CLIRPath-AI

A network of experts in the fields of Spectroscopy, Pathology and AI working to improve diagnosis and benefit patients

[clirspec @clirspec]

Follow us on Bluesky for information on SPEC 2026, Spring Scix 2026 and more...

https://t.co/ekbrK6GSgb

[CLIRPath-AI @CLIRPath_AI]

Preprint funded from the CLIRPath-AI grant (https://t.co/W4thlDy8fi)

DisentangleFormer: Spatial-Channel Decoupling for Multi-Channel Vision
https://t.co/4wQFwbpwzG

[CLIRPath-AI @CLIRPath_AI]

Transformer-Ensemble-Based Implicit Spectral–Spatial Functions for Arbitrary-Resolution Hyperspectral Pansharpening.
IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-19, 2025, Art no. 5519519
https://t.co/bk9wEfbO66
#ai #transformers #imageanalysis

[clirspec @clirspec]

Explainable AI-Based Feature Selection Approaches for Raman Spectroscopy.
Diagnostics 2025, 15(16), 2063; https://t.co/FOUQxe2xu6
#ramaneffect #ai #openaccess

We're also on Bluesky: https://t.co/ekbrK6GSgb

[CLIRPath-AI @CLIRPath_AI]

A warm welcome from @PeterGardnerUoM to the joint @CLIRPath_AI / @clirspec Summer School
#clirschool

[CLIRPath-AI @CLIRPath_AI]

Getting ready to welcome our Summer School guests on a beautiful day in Windermere!

[Advanced Bioimaging Unit @advanced_unit]

We’re very proud to display the new #AcknowledgementGuidelines poster launched by @RoyalMicroSoc and @GlobalBioimage – helping #ImagingScientists get #CreditWhereItsDue 🔬
Download the poster and join the campaign! https://t.co/oBklVvAwt0

[RMS @RoyalMicroSoc]

Working with @GlobalBioImage, we're very proud to launch our new #AcknowledgementGuidelines poster, helping #ImagingScientists get the credit they deserve for their research contributions!

#CreditWhereItsDue

Read more: https://t.co/HywmQ5wKBN

[clirspec @clirspec]

Multivariate and Machine Learning-Derived Virtual Staining and Biochemical Quantification of Cancer Cells through Raman Hyperspectral Imaging
Anal. Chem. 2025
https://t.co/LqXo59CVkK
#ramaneffect #cancer #ml

Follow us on Bluesky too: https://t.co/ekbrK6GSgb

[clirspec @clirspec]

RamanMAE: Masked Autoencoders Enable Efficient Molecular Imaging by Learning Biologically Meaningful Spectral Representations
bioRxiv 2025.05.18.654618
https://t.co/grkbUiZcBg
#preprint #ramanefect #AI #OpenAccess

Follow us on Bluesky too: https://t.co/ekbrK6Hq5J

[FocalPlane @focalplane_jcs]

New ‘How to’ post on FocalPlane 🔬💻

Lea Kabjesz shares a step-by-step guide to get you started annotating 2D and 3D images in Cellpose, including video tutorials.

https://t.co/i5YE03XRW3
#bioimageanalysis #cellpose #imaging #HowTo

[Latin America Bioimaging @LatamBioimaging]

Hey #LABICommunity!

Join our webinar on the Imaging for All (i4A) Program, coordinated by @GlobalBioImage and funded by @wellcometrust

📅 June 10 | 🕘 09:00 MX / 12:00 UY / 18:00 CEST
🔍 Learn how to apply, connect globally & get support!
📲Register: https://t.co/9jQQFWmI1p

[clirspec @clirspec]

📢Places are still available for the joint CLIRSPEC/CLIRPath-AI Summer School in July.
Book now to reserve your place!

https://t.co/C0qEXikEOh

@CLIRPath_AI have bursaries available for UK-based postdocs.

Follow us on Bluesky too https://t.co/ekbrK6GSgb

[SantosLaB @SantosLaB8]

https://t.co/8mjVBpcY2c

[The Company of Biologists @Co_Biologists]

One week to apply for Microscopy Training Grant from @J_Cell_Sci @focalplane_jcs if you would like to attend a #microscopy or #bioimageanalysis training course in the next 6 months but don’t have funding.
Next deadline: 6 June 2025
https://t.co/YQNNXCkEKM

[Breast Cancer Now @BreastCancerNow]

Even though most breast lumps are not cancer, it’s important to get them checked. Learn about breast lumps and benign (not cancer) breast conditions.

https://t.co/4EZM2aC6hX

[Dr Jayakrupakar Nallala @nallalakrupakar]

Great to be at #AACR25 to present our work on developing spectroscopy tools for predicting DCIS progression to breast cancer. Thanks to the support from
@profnickstone @CancerGrand @CR_UK @clirspec #dcis @CLIRPath_AI @NIHRresearch @UniofExeter

[clirspec @clirspec]

Identification of at-risk prostate cancer patients using Fourier transform infrared spectroscopy and machine learning.

SPIE: Toward Real-Time Spectroscopic Imaging and Diagnosis; 1331103 (2025)
https://t.co/tzzQGFeBvA
Presentation + paper

#infrared #prostatecancer #cancer #oa

[Physical Sciences Data Infrastructure (PSDI) @PSDI_UK]

Incomplete metadata is a major roadblock in scientific data management.

Without detailed descriptions, datasets become difficult to interpret, leading to confusion, misinterpretation, and loss of valuable insights.

Researchers waste time deciphering missing details instead of focusing on discoveries. Standardized, rich metadata ensures clarity, enhances searchability, and makes data truly FAIR—Findable, Accessible, Interoperable, and Reusable.

Don’t let your data become meaningless over time—document it properly! 📝✨

#PSDI #FAIRData #Metadata #DataDocumentation #ScienceEfficiency

[Darren Treanor @DrDarrenTreanor]

Final webinar in the current series is next week. A chance to ask questions of the whole team about digital pathology and our work in @NPICDigital