Abstract
Fourier transform infrared (FT-IR) spectroscopic imaging is an emerging technique that combines the molecular selectivity of spectroscopy with the spatial specificity of optical microscopy. We demonstrate a new concept in obtaining high fidelity data using commercial array detectors coupled to a microscope and Michelson interferometer. Next, we apply the developed technique to rapidly provide automated histopathologic information for breast cancer. Traditionally, disease diagnoses are based on optical examinations of stained tissue and involve a skilled recognition of morphological patterns of specific cell types (histopathology). Consequently, histopathologic determinations are a time consuming, subjective process with innate intra- and inter-operator variability. Utilizing endogenous molecular contrast inherent in vibrational spectra, specially designed tissue microarrays and pattern recognition of specific biochemical features, we report an integrated algorithm for automated classifications. The developed protocol is objective, statistically significant and, being compatible with current tissue processing procedures, holds potential for routine clinical diagnoses. We first demonstrate that the classification of tissue type (histology) can be accomplished in a manner that is robust and rigorous. Since data quality and classifier performance are linked, we quantify the relationship through our analysis model. Last, we demonstrate the application of the minimum noise fraction (MNF) transform to improve tissue segmentation.
| Original language | English (US) |
|---|---|
| Title of host publication | Biomedical Optical Spectroscopy |
| DOIs | |
| State | Published - Apr 21 2008 |
| Event | Biomedical Optical Spectroscopy - San Jose, CA, United States Duration: Jan 19 2008 → Jan 23 2008 |
Publication series
| Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| Volume | 6853 |
| ISSN (Print) | 1605-7422 |
Other
| Other | Biomedical Optical Spectroscopy |
|---|---|
| Country | United States |
| City | San Jose, CA |
| Period | 1/19/08 → 1/23/08 |
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Keywords
- Breast cancer
- Diagnostics
- FT-IR spectroscopy
- Histopathology
- Hyperspectral
- Imaging
- MNF transform
ASJC Scopus subject areas
- Engineering(all)
Cite this
Practical protocols for fast histopathology by Fourier transform infrared spectroscopic imaging. / Keith, Frances N.; Reddy, Rohith K.; Bhargava, Rohit.
Biomedical Optical Spectroscopy. 2008. 685306 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6853).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Practical protocols for fast histopathology by Fourier transform infrared spectroscopic imaging
AU - Keith, Frances N.
AU - Reddy, Rohith K.
AU - Bhargava, Rohit
PY - 2008/4/21
Y1 - 2008/4/21
N2 - Fourier transform infrared (FT-IR) spectroscopic imaging is an emerging technique that combines the molecular selectivity of spectroscopy with the spatial specificity of optical microscopy. We demonstrate a new concept in obtaining high fidelity data using commercial array detectors coupled to a microscope and Michelson interferometer. Next, we apply the developed technique to rapidly provide automated histopathologic information for breast cancer. Traditionally, disease diagnoses are based on optical examinations of stained tissue and involve a skilled recognition of morphological patterns of specific cell types (histopathology). Consequently, histopathologic determinations are a time consuming, subjective process with innate intra- and inter-operator variability. Utilizing endogenous molecular contrast inherent in vibrational spectra, specially designed tissue microarrays and pattern recognition of specific biochemical features, we report an integrated algorithm for automated classifications. The developed protocol is objective, statistically significant and, being compatible with current tissue processing procedures, holds potential for routine clinical diagnoses. We first demonstrate that the classification of tissue type (histology) can be accomplished in a manner that is robust and rigorous. Since data quality and classifier performance are linked, we quantify the relationship through our analysis model. Last, we demonstrate the application of the minimum noise fraction (MNF) transform to improve tissue segmentation.
AB - Fourier transform infrared (FT-IR) spectroscopic imaging is an emerging technique that combines the molecular selectivity of spectroscopy with the spatial specificity of optical microscopy. We demonstrate a new concept in obtaining high fidelity data using commercial array detectors coupled to a microscope and Michelson interferometer. Next, we apply the developed technique to rapidly provide automated histopathologic information for breast cancer. Traditionally, disease diagnoses are based on optical examinations of stained tissue and involve a skilled recognition of morphological patterns of specific cell types (histopathology). Consequently, histopathologic determinations are a time consuming, subjective process with innate intra- and inter-operator variability. Utilizing endogenous molecular contrast inherent in vibrational spectra, specially designed tissue microarrays and pattern recognition of specific biochemical features, we report an integrated algorithm for automated classifications. The developed protocol is objective, statistically significant and, being compatible with current tissue processing procedures, holds potential for routine clinical diagnoses. We first demonstrate that the classification of tissue type (histology) can be accomplished in a manner that is robust and rigorous. Since data quality and classifier performance are linked, we quantify the relationship through our analysis model. Last, we demonstrate the application of the minimum noise fraction (MNF) transform to improve tissue segmentation.
KW - Breast cancer
KW - Diagnostics
KW - FT-IR spectroscopy
KW - Histopathology
KW - Hyperspectral
KW - Imaging
KW - MNF transform
UR - http://www.scopus.com/inward/record.url?scp=42149126156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=42149126156&partnerID=8YFLogxK
U2 - 10.1117/12.762468
DO - 10.1117/12.762468
M3 - Conference contribution
AN - SCOPUS:42149126156
SN - 9780819470287
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Biomedical Optical Spectroscopy
ER -