History of Flow Cytometry: Concepts and Developments in Cytometry and Cytomics
electronic cell counting
generated in the history of flow cytometry from early on
significant interest amongst biomedically oriented scientists.
It took, however, a certain time until eminent clinical hematologists were
convinced of the usefulness of electronic red and white blood cell and
platelet enumeration by Coulter counters
in comparison to the long established counting chamber methods.
Early history of developments in flow and image cytometry, meetings and foundation of a scientific society (SAC) more >
Nevertheless, Ruhenstroth continued to consider the right skew in erythrocyte volume distribution curves of healthy humans an artifact and remained highly interested in volume distribution curves of cells mainly in the context of malignant cell populations. Potential conflicts with Coulter were circumvented by asking Butenandt for an equivalent of 250.000 Euro (a comparatively enormeous sum at this time, corresponding for example to the countervalue of 10 high speed ultracentrifuges, like the Beckman Spinco L-50) to develop instrumentation independently. Butenandt was initially hesitant but finally made the funds available. Jürgen Gutmann was hired as an electronic engineer, and an electronic as well as a mechanic workshop were equipped to begin the instrument building phase of the experimental medicine department (9 --> fig.1, 10, 11, 12 --> fig.2 left) in its former location in central Munich, close to the main railway station (Goethestrasse 31) from where the institute moved to the newly built Martinsried facilities in 1972.
fig.1 Electrical impedance cell sizing unit, J Gutmann, Diplomarbeit Fachbereich Elektrotechnik TU-München 1963
fig.2 left: Signal processing & histogram display unit from: J Gutmann, V Kachel, R Röttger, G Ruhenstroth-Bauer, Naturwiss 55:130(1968) (reproduction with kind permission of © Springer-Verlag Berlin Heidelberg), right: Metricell, Dec 1971 (image: © Günter Valet)
Klaus & Odila Zang, Jürgen Gutmann, Mac Fulwyler (13) and others observed the right skew of Coulter volume distribution curves, all considering it an artefact. Gutmann hypothesized that biconcave erythrocytes went through the sizing orifice in variable orientation like lengthwise, transverse or in intermediate position causing variable displacement of electrical field lines leading to increased signals for transversely passing erythrocytes. Right skew in nucleated cell volume distribution curves was interpreted as representing in part size difference during cell cycle.
Gutmann's concept was not confirmed by the subsequent investigations initiated by Reinhard Thom, a clinician from Berlin (Klinikum Westend, Freie Universität Berlin). He modified a standard Coulter orifice by a hydrodynamically focused cell influx capillary in front of the sizing orifice while being a guest scientist at the MPI-Biochemie (14, 15, 16). The available Metricell sizing instrumentation, as developed by Volker Kachel (17) (fig.2 right) in continuation of Gutmann's earlier work was used for the measurements.
The interest in path, shape and orientation of the cells on the way
through the orifice required their photographic visualization,
using a special observation chamber in combination with ultrashort flashlight (40nsec) pulses
(17 -> fig.4a).
A quartz observation chamber had been fabricated earlier by Zeiss (Oberkochem)
during a collaborative effort 1966/67 that had been stimulated by the
development of the first optical flow cytometer in a modern sense by
(18). In this cytometer, cell DNA was determined
by optical absorption at 253.7nm simultaneously with a cell light scatter
measurement at 410.0nm. The project idea with Zeiss was to simultaneously
measure DNA at 253.7nm and protein content at 280nm together with the
electricaly determined cell volume.
Zeiss provided a tuneable monochromator with HBO200 mercury arc lamp
in conjunction with a sophisticated UV-microscope. The
measurements were technically possible with this setup but it became
soon clear that the observed signals were mostly light scatter signals
and therefore not sufficiently specific for the separation between
DNA and protein of unstained cells in flow.
The project was abandoned but the quartz
chamber, kindly donated by Zeiss, proved very useful for the subsequent
extensive high speed photographic investigations of cells passing through
electrical sizing orifices.
The photographs showed that cells travelled always lenghthwise in the quickly accelerating fluid stream through the orifice. Cell passing over the edges of the orifice entrance, as possible in the typical Coulter counter, passed, however, through zones of elevated electrical field strength, resulting in higher electrical pulse signals than cells passing through the center of the orifice. Focusing particles on restricted pathways through the orifice provided similar electrical field strength conditions for all measured cells, resulting in the postulated symmetrical volume distribution curves for erythrocytes (15, 19) or monodisperse microbeads. Spielman & Goren (20) had equally observed a narrowing of Coulter volume distribution curves by hydrodynamic focusing around the same time but did not provide experimental explanations for their observation.
Conclusion: The extensive experimental work connected with the proof of the hypothesis that the right skew of volume distribution curves in normal Coulter counters at unrestricted particle path through the sizing orifice was an artefact has lead to the development of the cell sorter (13) as well as to fast imaging in flow (21)
A major bottleneck in cytometric investigations concerned from the beginning on
data display and data analysis, given the comparatively high data
acquisition rates between typically 1.000 and 5.000cells/sec.
The initial hardware solution at MPI-Biochemie consisted of a
set of around 20 relays each with an attached step wheel
to which a string with a small weight at its distal end was
attached. Each relay advanced its step wheel after a given number
of cells counts within its pulse height window
(channel) representing a certain cell size range. This resulted in
a display of inverted cell size histograms (fig.2 left).
In addition, the absolute cell count for each histogram channel was
printed. Record keeping was improved by the use of
an oscilloscope as histogram display and of an
xy-plotter that provided plots of the measured histograms
(fig.2 right). Nevertheless the quantitative information
for histogram comparison and further analysis was only available
The increased resolution of hydrodynamically focused measurements of cell volume distribution curves lead to the discovery by Günter Valet of discrete size populations of erythrocytes during the first trimenon of life (22) in various mammalian organisms or in adults after x-irradiation (23) or strong bleeding. Depending on species, these populations contained different hemoglobins and in addition differences in antigen expression or electrophoretic mobility as consequence of switched gene expressions patterns.
Having shown that the volume distribution curves had the potential to monitor gene activation patterns in the hematopoietic system, a more detailed data analysis was required to understand the sequence of events. The printed cell contents of the various channels of the volume distribution histograms were analysed in a first approximation on probability paper (22, 23) to obtain a model of the sequence of cell populations, thus concentrating the many initial histogram channel counts into a sequence of means, standard deviations and % contribution of the various cell populations over time.
Such tasks require typically a computer for curve fitting by mathematical functions. Computers were, however, at this time far too expensive for such an analysis. The move of the institute to Martinsried in 1972 provided, however, access to a Siemens 4004 main frame computer that had been purchased by the Max-Planck Gesellschaft for the equivalent of around 2 million Euros to advance the evaluation of electron microscope and x-ray crystallography data. The computer had a core memory of around 1Mbyte. From now on, cell volume distribution curves could be iteratively fitted by standard Gaussian normal distributions or by other functions with substantially more information and knowledge being extracted (24, 25) than by the visual inspection of histograms. It was also easier to evaluate cell aggregation for example of erythrocytes as cause of the clinically observed erythrocyte sedimentation rate (ESR) in anticoagulated blood samples (24).
fig.3 Fluvo Metricell 1982, Günter Valet, Hanna Kahle, (reproduction with kind permission of © KNA Bild, Bonn)
With the introduction of fluorescence into flow cytometry by Wolfgang Göhde (26, 27) and into cell sorting in Len Herzenberg's laboratory (28), flow cytometry gained access to an essentially unlimited number of specific molecular stains. It seemed especially important for medicine oriented cell biochemistry to develop into this direction since work prior to the development of fluorescence flow cytometry had shown the importance of relating biochemical changes in tissues to the cellular level in order to better understand their biological and physiological significance (29). Phywe company (Göttingen) commercialized Göhde's instrumentation but difficulties existed in purchasing only the optical part of the instrument since the intention at MPI-Biochemie was to use own electronics for signal amplification and list mode data acquisition as well as a performant computer for data evaluation. A member of the Phywe board of directors happened to be senator of the Max-Planck-Gesellschaft. He arranged the purchase of the optical part of the first commercially produced Phywe ICP11 instrument (W Göhde personal communication) in 1969.
Dr.Mildred Scheel, the wife of former German Bundespräsident Walter Scheel had founded the Deutsche Krebshilfe as well as the Mildred-Scheel Foundation to provide better care for cancer patients and to advance cancer research in Germany. Following significant funding of clinical institutions, certain criticisms emerged that not enough was done for the research sector. This prompted the Mildred-Scheel Foundation together with the Max-Planck Gesellschaft zur Förderung der Wissenschaften to internationally announce a 5 year research project in the area of medicine oriented basic cancer research. Günter Valet applied as did more than 50 other scientists and was finally appointed head of the independent Mildred-Scheel Laboratory for Cancer Cell Research (fig.4) after a thorough two year selection process by a search committee, consisting of around 20 eminent scientists from the Deutsche Krebshilfe, the Max-Planck-Gesellschaft as well as from several universities and cancer research institutes in Germany.
fig.4 Opening of the Mildred-Scheel Laboratory for Cancer Cell Research at Max-Planck Institut für Biochemie, Martinsried on July 15, 1981, Dr. Mildred Scheel (President Deutsche Krebshilfe), Prof. Peter Hans Hofschneider (Institute Director) (reproduction with kind permission of © MPG-Pressestelle, Munich)
The submitted project proposal aimed at the simultaneous multiparameter
analysis of single cells by flow cytometry as a sensitive approach for
the automated detection and molecular characterization of cancer cells in
patients as well as at the development of suitable benchtop instrumentation
for this purpose. The Mildred-Scheel Foundation provided the
equivalent of 1.5 Mio Euro for salaries while the Max-Planck Gesellschaft
contributed the laboratories and running costs in the order of 0.5 Mio Euro.
Dr.Scheel as former radiologist, followed the project with
close attention but died in 1985 of cancer.
fig.5 Cell function in cytomics: left: intracellular pH & esterase staining (ADB/DCH) of viable rat bone marrow cells (blue) and of the DNA in dead cells (PI) (red). right: contour line display of the flow cytometric measurement of around 6.000 cells of the stained cell preparation from the left panel.
Major focus points of the scientific project work concerned the:
- establishment of sensitive cell function assays for cancer cell detection by flow cytometry (fig.5)
- development of individualized cytostatic drug assays for patient cells
- development of data pattern analysis for knowledge extraction from complex multiparameter data
- application of this new potential to patient studies in collaboration with a variety of clinical institutions
- development of benchtop instrumentation (FLUVO-Metricell II, Cytomic123, 35, 36, 37, 38) by Volker Kachel
- organization of six international Martinsried flow cytometry courses (1985a,1985b, 1986,1987,1991,1993) for a total of 204 scientists (German (183), foreign (21)) to spread practical knowledge in flow cytometry
For further details of the cell biochemistry group see literature references 1981-1990.
After 5 years, the project was prolonged for another 3 years until 1989, amounting to a total funding of around 3.2 Mio Euro. It was at this time the largest project, the foundation had ever funded. About 10 FLUVO-Metricell II instruments, data recording or display modules were produced by the technical group and sold to scientific institutions between 1984-1989 with reinvestment of the income into further research. The reasons for the termination of the project in 1989 were that flow cytometry had become a routine technology and research in the earlier context was not considered of primary interest any more.
Following the termination of the Mildred-Scheel Laboratory project,
the cell biochemistry part of the Martinsried flow cytometry group
remained as Cell Biochemistry Group scientifically independent and continued
the work with funds from European research projects, through
Sonderforschungsbereiche of the Deutsche Forschungsgemeinschaft
(DFG) and basic funding by the Max-Planck-Gesellschaft.
Given the fast technological progress, commercial instrumentation such as the PASIII cell analysis and closed piezo cell sorter system (Partec, Münster, Germany) met increasingly the needs of basic cell biochemistry research and did not require further in-house technological development. Likewise, personal computers provided enough computing power for cytometric list mode data analysis. Decreasing support in combination with an increasing accumulation of multiparametric data sets in many clinical environments generated a gradual shift from the production of own data to processing other groups data. This was advantageous since it would have been experimentally very difficult to generate the amount of experimental and clinical data required for the development of these concepts within a single laboratory.
The limited interest for flow cytometric cell biochemistry at the national level (see frequency of terms like Zytomik or Humanzytomprojekt / Humanzytom-Projekt on the Internet) favoured this increased concentration onto the intellectual core competence of knowledge extraction from complex multiparameter data at the international level. Essential transit points in this effort over time were:
- the automated diagnosis from flow cytometric list mode data (1987)
- the view that cytometry and later cytomics constitute a biomedical key discipline where the explicit analysis of the heterogeneity of cell systems in form of system cytometry (1997) represents a comparatively efficient top-down strategy for the systematic resolution of the cellular and molecular biocomplexity of higher organisms with one of the important advantages being that complex disease mechanisms can be efficiently investigated without necessity for extensive a-priori knowledge and molecular pathway modeling.
- the individual patient disease course prediction by SMDC (predictive medicine by SMDC) (2000) (fig.6)
- the definition of cell systems as cytomes (2001) in combination with
- the introduction and redefinition of the plant science term cytomics for cell biochemical purposes
- the predictive medicine by cytomics concept (2001) as well as
- the elaboration of concepts for a human cytome project (2004) and for a periodic system of cells (2005)
fig.6 CLASSIF1 data pattern analysis: Discriminatory disease classification masks (top of rightmost column) consisting in this case of the 5 most discriminatory out of 44 measured thrombocyte parameters, permit to correctly distinguish between risk and non-risk patients for myocardial infarction from molecular properties of peripheral blood thrombocytes. The CLASSIF1 algorithm (CLASSIF1 classification column) correctly recognizes the two types of patients (clinical classification column) from the analysed flow cytometric data (details, 39)
Excellent collaborators in the cell biochemistry and technology areas as well as a significant number of highly interested clinicians have very much contributed to the success of the various scientific projects. I want to thank them all for their continued enthousiasm and their committment to the goals of this highly transdisciplinary work. I am furthermore very grateful to several scientists at the national and international level for their openness to the conceptual aspects of this work. They have by numerous discussions and a number of joint publications very significantly contributed to the elaboration and dissemination of the cytomics, predictive medicine by cytomics and human cytome project concepts
Friedrich Otto Scheyffarth
Hans Heinrich Warnecke
Thomas P.U. Wustrow
Heinz Gerd Höffkes
Peter van Osta
The Martinsried flow cytometry group in its cell biochemistry and technology
branches, has contributed to several developments and concepts that have
significantly shaped the cytometry field over time:
1. The early instrument development terminated the long going controversy about the right skewedness of cell volume distribution curves by electrical sizing by recognizing the importance of hydrodynamic focusing to avoid the right skew. It furthermore provided early computerized list mode data acquisition as an important prerequisite for the efficient extraction of information and knowledge from multiparameter flow cytometry measurements.
2. The development of flow cytometric cell function assays enabled the fast molecular evaluation of disease states as well as predictions about the future disease progress in individual patients. The flow cytometric determination of cell function has advanced on its own into a steadily growing field in medicine and cell biochemistry but also in the pharmaceutical industry in form of high-throughput and high-content assays for drug discovery, both by flow cytometry and image cytometry.
3. The development of data pattern analysis (data sieving) by the CLASSIF1 algorithm permits the exhaustive and standardized knowledge extraction from flow cytometric list mode files as well as from multitudes of other multiparameter data.
4. Data pattern analysis enabled amongst others the development of the concepts of individual patient disease course prediction by SMDC (standardized multiparameter data classification) and system cytometry as well as the cytome & cytomics definitions (Omics-glossary (2001)), leading to the concepts of predictive medicine by cytomics, of a human cytome project and of a periodic system of cells.
The experimental and conceptual work of the Martinsried Cell Biochemistry
Group has led to diverse forms of
such as the election into leading positions of international scientific
societies, membership in various editorial boards, associate editor
& editor of the "cytomics" editorial column in Cytometry A, invitation to more than 20
review articles in the cytomics area during the time period 2001-2006 and to
more than 200 invitations for presentations of the groups cell biochemistry
work at scientific meetings or in many
institutions worldwide since 1981, furthermore to awards, membership in
scientific advisory boards and collaboration with the pharmaceutical industry
in the area of predictive medicine by cytomics (-> personalized medicine,
individualized medicine). The presently widespread international interest
is also reflected by inclusion of various definitions and concepts into
like Omes & Omics
or enzyclopedias like Wikipedia
human cytome project)
or in the ranking of the groups Internet pages by search engines like
Google (date: position/total number of hits):
|cell function, "cell function"||cell biochemistry, "cell biochemistry"||predictive medicine, "predictive medicine"||cytome(s)||cytomics||human cytome project||
21.10.07: 10/186mio, "2/2.0mio"
06.04.08: 2/20.5mio, "2/1.2mio"
02.08.01: --/-- (0/0)
10.08.01: --/-- (1/3)
26.02.03: --/-- (1/18)
14.04.07: 3/88.900 (1/337)
06.04.08: 4/28.100 (8/542)
The fields of cytometry and
have been fascinating over many years by the collaboration of scientists
being interested in trans-disciplinary
(cross-disciplinary) concepts and their potential to provide
entirely new insights into cellular biomechanisms. Flow cytometry and image
cytometry instrument developpers were initially (1965-1985) rather competing
against each other for supremacy in the sensitive detection of cancer cells
but the efforts have become more and more collaborative and mutually
complementing in recent years. Flow cytometry with its early on fluorescence orientation
has substantially enhanced the development of new stains,
proving equally useful for molecular biology as for single cell oriented
image cytometry like in confocal or laser scanning microscopy.
The cytometric field continues to be fascinating through its potential to unfold the organismal (organismic) biocomplexity top-down by single cell molecular analysis in-situ that is with all molecules in place, lending itself to the reverse engineering of the assembled molecular machinery as well as to the investigation of the natural heterogeneity of cells in tissues and in complex disease mechanisms as one of the bases for the adaptivity of organisms in variable environments. The top-down approach seems particularly promising since the knowledge of the entire set of biomolecules as derived at the genome level does by itself so far not provide enough information for their molecular reassembly in form of living cells, tissues, organs or organisms. The fascination for the cell biochemistry and cytomics fields will therefore in all likelihood not only continue but further increase, seen the overall potential and challenges of this approach.
Download the ZIP file containing all Cell Biochemistry pages for example into directory: d:\classimed\, unzip into the same directory, enter the address: file:///d:/classimed/cellbio.html into the URL field of the Internet browser to directly access text & figures on your harddisk free of network delays (further information).
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