Spectral Analysis as a Diagnostic Tool for Birds

January 1980 in “ AFA Watchbird ”

Bradly G. Dalton

Studysummary This report suggests that spectral-analysis of feathers may identify toxic mineral exposure in birds, as illustrated by a cockatoo with feather loss showing high levels of aluminum and cadmium.

Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer ·

View this study on journals.tdl.org →

Discuss this study in the Community →

Similar Research

5 / 1000+ results

research Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy

2 citations , May 2025 in “Diagnostics”

This study found that ATR-FTIR spectroscopy combined with machine learning effectively differentiated alopecia areata patients from healthy controls with an AUC of 0.85, and also showed promise in predicting treatment response, particularly through alterations in the Amide I band.

research Fast and Noninvasive Hair Test for Preliminary Diagnosis of Mood Disorders

6 citations , August 2022 in “Molecules”

This study indicates potential differences in the hair spectra of individuals with mood disorders, suggesting a promising, yet preliminary, method for noninvasive prediagnosis.

research The usefulness of dermoscopy in canine pattern alopecia: a descriptive study

16 citations , July 2016 in “Veterinary Dermatology”

This study found that dermoscopy can identify distinctive features in canine pattern alopecia, such as hair shaft thinning and pigmentation patterns, which may aid in diagnosing this and potentially other skin disorders.

research ecancermedicalscience

16 citations , December 2016 in “ecancermedicalscience”

This study suggests that ATR-FT-IR spectral analysis of hair fibres may detect breast cancer through increased lipid content changes linked to cancer presence.

research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline

October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)”

This study introduces the Hair Cell Analysis Toolbox (HCAT), a machine-learning software that automates the analysis of cochlear hair cells, enabling unbiased and comprehensive imaging data interpretation.