A. Habibalahi

发表

moRphology - dEep Learning Imaging Cells (RELIC) - to Differentiate Between Normal and Pathological Kidney Exfoliated Cells

Jared M. Campbell, A. Chou, A. Gill, 2022, bioRxiv.

Non-destructive, label free identification of cell cycle phase in cancer cells by multispectral microscopy of autofluorescence

Martin E. Gosnell, Jared M. Campbell, S. Gronthos, 2019, BMC Cancer.

Pulsed eddy current and ultrasonic data fusion applied to stress measurement

M. S. Safizadeh, A Habibalahi, A. Habibalahi, 2014 .

Non-invasive real-time imaging of reactive oxygen species (ROS) using auto-fluorescence multispectral imaging technique: A novel tool for redox biology

Martin E. Gosnell, Jared M. Campbell, A. Habibalahi, 2020, Redox biology.

Application of Mitochondrially Targeted Nanoconstructs to Neoadjuvant X-ray-Induced Photodynamic Therapy for Rectal Cancer

Jared M. Campbell, A. Habibalahi, E. Goldys, 2020, ACS central science.

NMN treatment reverses unique deep radiomic signature morphology of oocytes from aged mice

Jared M. Campbell, R. Gilchrist, A. Habibalahi, 2021 .

Unique Deep Radiomic Signature Shows NMN Treatment Reverses Morphology of Oocytes from Aged Mice

Jared M. Campbell, R. Gilchrist, A. Habibalahi, 2022, Biomedicines.

Ageing human bone marrow mesenchymal stem cells have depleted NAD(P)H and distinct multispectral autofluorescence

Jared M. Campbell, S. Gronthos, A. Habibalahi, 2020, GeroScience.

NAD+ Repletion Rescues Female Fertility during Reproductive Aging

Jared M. Campbell, D. Sinclair, N. Turner, 2020, Cell reports.

Automated identification of aneuploid cells within the inner cell mass of an embryo using a numerical extraction of morphological signatures

Jared M. Campbell, A. Habibalahi, S. Mahbub, 2022, bioRxiv.

Non-invasive assessment of exfoliated kidney cells extracted from urine using multispectral autofluorescence features

Martin E. Gosnell, Jared M. Campbell, A. Chou, 2021, Scientific Reports.

NAD+ repletion rescues female fertility during reproductive ageing

Jared M. Campbell, D. Sinclair, N. Turner, 2019, bioRxiv.

Oocyte and cumulus cell cooperativity and metabolic plasticity under the direction of oocyte paracrine factors

Jared M. Campbell, B. Nixon, A. Poljak, 2022, bioRxiv.

Optimized Autofluorescence Spectral Signature for Non-Invasive Diagnostics of Ocular Surface Squamous Neoplasia (OSSN)

Subhas Chandra Mukhopadhyay, Ewa M. Goldys, Ayad G. Anwer, 2019, IEEE Access.

Ageing human bone marrow mesenchymal stem cells have depleted NAD(P)H and distinct multispectral autofluorescence

Jared M. Campbell, S. Gronthos, A. Habibalahi, 2020, GeroScience.

Multispectral autofluorescence characteristics of reproductive aging in old and young mouse oocytes

Jared M. Campbell, R. Gilchrist, A. Habibalahi, 2022, Biogerontology.

The Autofluorescence Patterns of Acanthamoeba castellanii, Pseudomonas aeruginosa and Staphylococcus aureus: Effects of Antibiotics and Tetracaine

A. Habibalahi, S. Mahbub, A. Anwer, 2021, Pathogens.

Non-invasive real-time imaging of reactive oxygen species (ROS) using multispectral auto-fluorescence imaging technique: a novel tool for redox biology

Jared M. Campbell, A. Habibalahi, S. Mahbub, 2020, bioRxiv.

Novel automated non invasive detection of ocular surface squamous neoplasia using multispectral autofluorescence imaging.

Abbas Habibalahi, Alexandra Allende, Chandra Bala, 2019, The ocular surface.

Computed Tomography Radiomics Signatures: Sensitive biomarkers for clinical decision support in pancreatic cancer- a pilot study

V. Gebski, A. Barbour, A. Habibalahi, 2021, medRxiv.

Improving pulse eddy current and ultrasonic testing stress measurement accuracy using neural network data fusion

Kaveh Samadian, M. S. Safizadeh, Seyed Sajad Mousavi, 2015 .

Automated pancreatic islet viability assessment for transplantation using bright-field deep morphological signature

Jared M. Campbell, S. Grey, A. Habibalahi, 2023, Computational and structural biotechnology journal.

Pterygium and Ocular Surface Squamous Neoplasia: Optical Biopsy Using a Novel Autofluorescence Multispectral Imaging Technique

Jared M. Campbell, A. Habibalahi, S. Mahbub, 2022, Cancers.

Non-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryo

Jared M. Campbell, A. Habibalahi, S. Mahbub, 2020 .

Multispectral characterisation of mesenchymal stem/stromal cells: age, cell cycle, senescence, and pluripotency

Saabah B. Mahbub, Jared M. Campbell, Jared M. Campbell, 2020, BiOS.

Hyperspectral imaging of the early embryo: can it detect chromosome abnormalities and predict IVF success?

Kylie R. Dunning, Jeremy G. Thompson, Ewa M. Goldys, 2019, Micro + Nano Materials, Devices, and Applications.

Emerging clinical applications in oncology for non‐invasive multi‐ and hyperspectral imaging of cell and tissue autofluorescence

Jared M. Campbell, A. Habibalahi, S. Mahbub, 2023, Journal of biophotonics.

Non-invasive, label-free optical analysis to detect aneuploidy within the inner cell mass of the preimplantation embryo.

Jared M. Campbell, A. Habibalahi, S. Mahbub, 2021, Human reproduction.

Application of Pulsed eddy current technique to stress and residual stress measurement

M. S. Safizadeh, Abbas Habibalahi, A. Habibalahi, 2014 .

Pancreatic Islet Viability Assessment Using Hyperspectral Imaging of Autofluorescence

A. Habibalahi, S. Mahbub, A. Anwer, 2023, Cells.

Forward to residual stress measurement by using pulsed eddy current technique

A. Habibalahi, M. Safizadeh, 2013 .

Integration of hyperspectral imaging and transcriptomics from individual cells with HyperSeq

A. Habibalahi, A. Anwer, K. Wahi, 2024, bioRxiv.

Single cell, Label free Characterisation of Human Mesenchymal Stromal cell Stemness and Future Growth Potential by Autofluorescence Multispectral Imaging

A. Habibalahi, S. Mahbub, A. Anwer, 2024, Stem Cell Reviews and Reports.

Clinical applications of non‐invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology

Jared M. Campbell, A. Habibalahi, S. Mahbub, 2023, Journal of biophotonics.