Automated image processing. Past, present, and future of blood cell morphology identification.

Automated image processing analysis for leukocyte differential counting started 30 years ago principally as a mimic of the traditional microscopic method. Several types of systems were used in the 1970s and 1980s. In the late 1990s, two new image processing systems were developed with new technology for cell image analysis. They possess an intelligent neural network software and can be connected to an Ethernet for telehematologic diagnosis and consultation.

[1]  R. M. Rowan,et al.  Automation and quality assurance in haematology , 1986 .

[2]  T F Dutcher,et al.  Evaluation of an automated differential leukocyte counting system. I. Instrument description and reproducibility studies. , 1974, American journal of clinical pathology.

[3]  Ashok V. Kulkarni,et al.  Leukocyte image analysis in the diff3 system , 1981, Pattern Recognit..

[4]  N. Tatsumi,et al.  A new direction in automated laboratory testing in Japan: five years of experience with total laboratory automation system management. , 1999, Clinica chimica acta; international journal of clinical chemistry.

[5]  T. Yamane,et al.  Possibility of identification of hematopoietic stem cells using a conventional blood cell counter , 1995, European journal of haematology.

[6]  P Wilding,et al.  Use of pattern recognition technology for determination of the human differential leukocyte count. , 1985, Blood cells.

[7]  Koepke Ja,et al.  A critical evaluation of the manual/visual differential leukocyte counting method. , 1985 .

[8]  R. Holder,et al.  An evaluation of the Technicon H6000 haematology system. , 1983, Clinical and laboratory haematology.

[9]  C. Heckler,et al.  An automated blood smear analysis system. Clinical experience and performance. , 1980, American journal of clinical pathology.

[10]  C Garbay,et al.  A double scanning microphotometer for image analysis: hardware, software and biomedical applications. , 1979, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[11]  S. B. Mckenzie,et al.  Analysis of reticulocyte counts using various methods. , 1991, Clinical laboratory science : journal of the American Society for Medical Technology.

[12]  A. Marchand,et al.  Comparison of performance for leukocyte differential counting of the Technicon H6000 system with a manual reference method using the NCCLS standard. , 1985, Blood cells.

[13]  C. Geary The story of chronic myeloid leukaemia , 2000, British journal of haematology.

[14]  J. Koepke Practical laboratory hematology , 1991 .

[15]  J. Ploem,et al.  An automated microscope for quantitative cytology combining television image analysis and stage scanning microphotometry. , 1979, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[16]  J. E. Green,et al.  A practical application of computer pattern recognition research: the Abbott ADC-500 differential classifier. , 1979, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[17]  J E Benzel,et al.  Evaluation of an automated differential leukocyte counting system. II. Normal cell identification. , 1974, American journal of clinical pathology.

[18]  Pierre Rv The routine differential leukocyte count vs automated differential counts. , 1985 .

[19]  Michel H. Devoret,et al.  Amplifying quantum signals with the single-electron transistor , 2000, Nature.

[20]  K. Ohta,et al.  Pathophysiological significance of simultaneous measurement of reticulated platelets, large platelets and serum thrombopoietin in non‐neoplastic thrombocytopenic disorders , 1999, European journal of haematology.

[21]  S M Lewis,et al.  AUTOMATED DIFFERENTIAL LEUCOCYTE COUNTING: THE PRESENT STATE OF THE ART , 1977, British journal of haematology.

[22]  Bacus Jw The development of automated differential systems. , 1979 .

[23]  R. Schoentag,et al.  Evaluation of an automated blood smear analyzer. , 1979, American journal of clinical pathology.

[24]  B. Bain Blood Cells: A Practical Guide , 1988 .

[25]  Timothy F. Havel,et al.  Ensemble quantum computing by NMR spectroscopy , 1997, Proc. Natl. Acad. Sci. USA.

[26]  K. Ohta,et al.  Automated Enumeration of Cellular Composition in Bone Marrow Aspirate with the CELL-DYN 4000TM Automated Hematology Analyzer , 1999, Acta Haematologica.

[27]  Evaluation of the accuracy of the diff3/50 with a cell by cell comparison. , 1983, American journal of clinical pathology.

[28]  Barbara H. O'Connor,et al.  A color atlas and instruction manual of peripheral blood cell morphology , 1984 .

[29]  G. Papanicolaou,et al.  A microfluorometric scanning method for the detection of cancer cells in smears of exfoliated cells , 1952, Cancer.

[30]  D. Twedt,et al.  The Coulter Counter leukocyte differential. , 1985, Blood cells.

[31]  M L Mendelsohn,et al.  THE ANALYSIS OF CELL IMAGES * , 1966, Annals of the New York Academy of Sciences.

[32]  K Preston Automation of the analysis of cell images. , 1980, Analytical and quantitative cytology.

[33]  H. P. Mansberg,et al.  THE HEMALOG D WHITE CELL DIFFERENTIAL SYSTEM , 1974, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[34]  B E Copeland,et al.  An automatic leukocyte analyzer. Validity of its results. , 1977, American journal of clinical pathology.

[35]  J. Arneth Die neutrophilen Leukozyten bei Infektionskrankheiten , 1904 .

[36]  Takayuki Takubo,et al.  Evaluation of the SF-3000 haematology analyser , 1996, The Journal of automatic chemistry.

[37]  Megla Gk The LARC automatic white blood cell analyzer. , 1973 .

[38]  Warren Groner,et al.  Practical Guide to Modern Hematology Analyzers , 1995 .